Advertised Project Openings


Below are currently advertised UROP projects available to eligible undergraduates. All projects, regardless of mode (pay, credit, or volunteer) are expected to be worth MIT academic credit and be supervised by MIT faculty. Projects appear on this list in the order they have been received.

These projects do not represent all available UROPs as many faculty do not submit project listings for this site. Rather, they expect interested students to contact them based on their general research to discuss potential UROPs.

Available UROPs

8/15/19

Fall/IAP

UROP Department, Lab or Center: Broad Institute (BR)

MIT Faculty Supervisor Name: Dr. Nir Hacohen

Project Title: Studying cancer vaccines using a systems approach

Project Description: Cancer immunotherapy and cancer vaccines are effective at treating cancer for a subset of patients, yet most patients do not respond. To develop a better vaccination strategy, one way is to understand the body's immune response in detail using high-throughput methods, such as single-cell gene expression profiling. This project involves validating new vaccination strategies based on the gene expression data we previously collected using in vitro methods and mouse models. Daily tasks include cell culture, working with mice, and data analysis. The student can choose between a computational and an experimental project.

Prerequisites: No prior experience needed. We are looking for a student who has a strong interest to learn molecular biology and/or computational techniques (R/Python).

Contact: Ang Cui: angcui@mit.edu


8/15/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Dr. Pratik Shah

Project Title: Machine learning algorithms for data visualization and medical research

Project Description: Deidentified numerical measurements, images, and videos from clinical datasets from human subjects are available to develop new data visualization and machine learning tools. Your will be trained to create additional visualizations that allow us to understand the data along its multiple dimensions and to identify areas for machine learning analyses. This includes creating a landing page for these visualizations and this project in general. You will also implement novel machine learning algorithms to classify this and other publicly available datasets for real-world use. Co authorship on publications and opportunity to apply machine learning to develop deployable health solutions.

Prerequisites: Familiarity with data visualization, web programming, computer vision, computer science and machine learning methods. Knowledge/coursework in statistics is preferred. Include a brief cover letter, resume, a list of related coursework, and other relevant material (projects, portfolio, etc.)

Preferred technical skills or willingness to learn these: 

  • Loading and processing large data from files in text format (e.g., csv, json, xml, etc.) using programming tools (e.g., Python Pandas, R, etc.). 
  • Computational graph and auto-differentiation tools (e.g., Pytorch, Tensorflow, Theano, etc.) for deep learning models. 
  • Visualization tools (e.g. Matplotlib, Tableau, Jupyter Notebook, etc.). 
  • Parallel processing tools (e.g. Python Multiprocessing, MPI, etc.).
  • Basic statistical tools (e.g. linear regression, null hypothesis tastings, model comparison, etc.)

Relevant URL: https://www.media.mit.edu/groups/health-0-0/overview/

Contact: Hyung-Jin Yoon: hyungjin@mit.edu


8/15/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Dr. Pratik Shah

Project Title: Deep Neural Network (DNN)-emergent architectures for biomedical and clinical trial datasets for improving human health.

Project Description: Develop novel machine learning methods that learn from clinical trials with drugs, wearables, vaccines, and electronic medical data from patients. Use existing machine learning techniques and models (AlexNet, ImageNet, MNIST etc) for processing multi modal datasets. Co-authorship on publications and opportunity to apply and learn machine learning to develop medical solutions.

Prerequisites: 

  • Interest in computer science and medicine research. 
  • Coursework or experience in machine learning methodologies such as regression/classification, unsupervised/supervised/semi-supervised learning, ensemble methods, and deep learning, data visualization. 
  • Coding in Python, Java, or C++, preferably within a team environment (version control, issue tracking, code review).
  • Coursework or experience in predictive analytics/statistical and mathematical modeling/data mining algorithms.
  • Coursework or experience working with data collected from wearable sensors or smartphone, data pre-processing (e.g., filter design) and feature engineering is a plus but not required.

Relevant URL: https://www.media.mit.edu/groups/health-0-0/overview/

Contact: Akram Bayat: abayat@mit.edu


8/15/19

Fall

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Joe A. Paradiso

Project Title: Building a mobile assessment app for collecting and studying heart rate variability in different physical environments

Project Description: The physical environment we choose to be in can greatly influence our experience and behavior, more importantly, it could have an effect on our cognitive performance, and well-being.  We are seeking a UROP to help (1)  improve a mobile assessment app for gathering and recording data from survey and wearable sensor. And (2) conduct the experiment, perform signal processing, and data analysis from the collected data.

Prerequisites:

  • Solid experience with development of mobile applications.
  • Signal processing of biosignals (PPG analysis)
  • Familiarity working with embedded systems.

Preferred but not required:

  • Data analysis experience in Python.
  • Familiarity with Jupyter Notebook.

Contact: Elena Chong: elenack@mit.edu


8/15/19

Fall/IAP/Spring

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: Laura Schulz

Project Title: Lookit: Baby Physics

Project Description: We are looking for committed, detail-oriented students to assist with a longitudinal study investigating infants' understanding of physical principles. Using the online research platform Lookit.mit.edu, we have and are continuing to collect hundreds of hours of video data on what kinds of physical events attract infants' attention. We are seeking a UROP to help with participant recruitment, data preprocessing, and analysis.

*UROP Responsibilities may include*:

  • Prepare video data for analysis by coding infant behavior during each study session
  • Recruit families in-person (at museums, parks, etc) and social media
  • Write Python / R code to automatically create individualized reports for parents who have completed the study

Prerequisites:

  • Availability to work 10+ hours a week for credit or direct funding.
  • Previous experience programming or conducting outreach with the public is helpful
  • Attention to detail, heaps of enthusiasm, and a curious mind!

Relevant URL: https://lookit.mit.edu/studies/cfddb63f-12e9-4e62-abd1-47534d6c4dd2/

Contact: Junyi Chu: junyichu@mit.edu


8/15/19

Fall/IAP

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: Laura Schulz

Project Title: How Children Evaluate Conjectures

Project Description: Consider the last time you asked a question to get some information (e.g. to a friend, teacher, or passer-by). Sometimes, people provide you with good answers and explanations. Other times, answers might sound implausible, or even be entirely irrelevant to your original question. How do we detect and discriminate good, meaningful answers from inappropriate or irrelevant ones? In this story-telling study we ask whether children are sensitive to what counts as a good explanation when confronted with novel questions. We are seeking a UROP to help with data collection, preprocessing, and analysis.

*UROP Responsibilities may include*:

  • Recruit and test 4-7-year-old children at museums using a storybook paradigm
  • Prepare video data for analysis by coding child behavior during each study session

Prerequisites:

  • Availability to work 10+ hours a week for credit or direct funding.
  • Available at least 1 day / week from 9am-2pm or from 1pm-6pm
  • Comfortable working with children (ages 3-7; babysitting counts!)

Contact: Junyi Chu: junyichu@mit.edu


8/15/19

Fall/IAP

UROP Department, Lab or Center: Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT Faculty Supervisor Name: Daniela Rus

Project Title: Learning Autonomy

Project Description: The Distributed Robotics Lab at MIT CSAIL is contributing to the development of self-driving cars within the Toyota-CSAIL joint research center. Our work addresses the full scope of challenges in the development of this new and exciting technology, involving theoretical and applied work on decision making, perception, and control.

Deep learning has been successfully applied to different aspects of the autonomous driving task such as lane and vehicle detection as well as full end-to-end control. We are interested in developing novel algorithms for deep learning-based planning and control, deep reinforcement learning, quantifying and representing network uncertainty, and prediction of the state of the environment. The work of the UROP will involve implementation and development of neural network architectures and their evaluation with regard to one or several of these challenges on one of our platforms involving full-scale autonomous vehicles, autonomous wheelchairs, and miniature race cars.

Prerequisites:

  • Python programming experience (having written at least 10k lines of Python code).
  • Experience with at least one state-of-the-art Deep Learning framework (e.g., Tensorflow, PyTorch, Caffe)
  • Experience with deep learning architectures for Sequence and Image modeling (LSTMs, CNNs).
  • Experience in robotics,  having worked with real-world datasets for autonomous driving (e.g. KITTI or Oxford Robocar Dataset), or knowledge of some of the following technologies / frameworks is a big plus: C++, ROS, OpenCV, PCL, Docker.
  • Students outside of EECS are also encouraged to apply. Furthermore, we welcome applications from students who do not satisfy some of the above requirements but have extensive programming experience instead (having written over 100k lines of code spanning multiple programming languages and APIs on different operating systems).

If you are interested, please apply with your CV, grade transcript, and, if available, references to public repositories containing code samples. Work hours can be organized flexibly and are expected to be on average above 10h/week or full-time for IAP UROPs.

Contact: Igor Gilitschenski: igor@gilitschenski.org


8/15/19

Fall/IAP

UROP Department, Lab or Center: Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT Faculty Supervisor Name: Daniela Rus

Project Title:  Perception for Autonomous Vehicles

Project Description: The Distributed Robotics Lab at MIT CSAIL is contributing to the development of self-driving cars within the Toyota-CSAIL joint research center. Our work addresses the full scope of challenges in the development of this new and exciting technology, involving theoretical and applied work on decision making, perception, and control.

Within this project, we are looking for a UROP interested in computer vision and, more broadly, perception for self-driving vehicles. Developing a robust perception system is key to maintaining situational awareness in highly dynamic environments which may undergo strong appearance and structural changes.  The work will involve the integration of existing Perception pipelines (e.g. for Object Detection or Simultaneous Localization and Mapping) and developing new tools for data processing and visualization.

Prerequisites:

  • Python programming experience (having written at least 10k lines of Python code).
  • Knowledge of Computer Vision covering the material of the courses 6.801/6.866 and ideally 6.819/6.869.
  • Experience with OpenCV and desirably PCL.
  • Experience in robotics,  having worked with real-world datasets for autonomous driving (e.g. KITTI or Oxford Robocar Dataset), or knowledge of some of the following technologies / frameworks is a big plus: C++, ROS, Tensorflow.
  • Students outside of EECS are also encouraged to apply. Furthermore, we welcome applications from students who do not satisfy some of the above requirements and have extensive programming experience instead (having written over 100k lines of code spanning multiple programming languages and APIs on different operating systems).

If you are interested, please apply with your CV, grade transcript, and, if available, references to public repositories containing code samples. Work hours can be organized flexibly and are expected to be on average above 10h/week or full-time for Summer UROPs.

Contact: Igor Gilitschenski: igor@gilitschenski.org


8/15/19

Fall/IAP

UROP Department, Lab or Center: Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT Faculty Supervisor Name: Daniela Rus

Project Title: Autonomous Driving Systems

Project Description: The Distributed Robotics Lab at MIT CSAIL is contributing to the development of self-driving cars within the Toyota-CSAIL joint research center. Our work addresses the full scope of challenges in the development of this new and exciting technology, involving theoretical and applied work on decision making, perception, and control.

In order to evaluate and validate our algorithms for different aspects of autonomous driving, we are operating several robotic platforms and simulation environments. Our platforms involve two Toyota Prius, two autonomous wheelchairs, and a set of miniature racing cars. The work of the UROP will involve supporting us in the development and maintenance of the software infrastructure for real-world robotic experiments. It may also involve building and modifying hardware setups and integration of novel sensors and software components.

Prerequisites:

  • Python and C++ programming experience (having written at least 10k lines of code in each language).
  • Knowledge of ROS and hands-on robotics experience.
  • Experience in using Linux (including bash, Makefiles, CMake, gcc, gdb).
  • Knowledge of modern software development methodology as presented in the software construction course or through internships (working with git, style guides, unit tests, code reviews)
  • Knowledge of some of the following technologies/frameworks is a big plus: OpenCV, PCL, Tensorflow, PyTorch, Gazebo, Jenkins, Docker, Google Test.
  • Ability to work highly independently.
  • Students outside of EECS are also encouraged to apply.

Please also consider applying if you have exceptional algorithmic skills (demonstrated through successful participation in competitions such as IOI or ICPC) and/or an extensive programming experience (having written over 100k lines of code spanning multiple programming languages and APIs on different operating systems).

Contact: Igor Gilitschenski: igor@gilitschenski.org


8/15/19

Fall

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: Prof. John Gabrieli

Project Title: How belief changes perception: Computational modeling of human reinforcement learning

Project Description: In this project, we are looking to study the effect of beliefs on perception using a reinforcement learning design (specifically, two-armed bandit task).  Beliefs have been shown to change the way humans weigh evidence, process Information and ultimately make decisions. This project aims to uncover how this phenomenon plays out in daily life. The UROP in this project will be responsible for testing existing computational methods and potentially developing new ones, and for estimating and simulating behavioral data. 

Prerequisites:

  • Independent and motivated individuals
  • Approximately 8 hours a week
  • Familiar with computational modeling of human behavior

Contact: Interested students are encouraged to contact Dr. Liron Rozenkrantz: liron.rozenkrantz@gmail.com with a description of their interest and fit to the project, as well as their CV.


8/15/19

Fall/IAP

UROP Department, Lab or Center: BCS, Computational Psycholinguistics Lab

MIT Faculty Supervisor: Roger Levy

Project Title: Eyetracking for Language Processing

Project Description: We have an exiting new project on the intersection of linguistics, cognitive science and machine learning, in which we use eyetracking technology to study how humans read and process language in real time. We are looking for highly motivated students to join the project during the Fall and IAP. As part of the UROP, you will learn about experimental techniques in psycholinguistics and will be trained to operate a state-of-the-art eyetracker. You will be in charge of running a series of experiments for data collection. Additionally, there will be an opportunity to participate in designing experiments, preparing experimental materials and analyzing the collected data.

Prerequisites:

  • Highly responsible, independent, and attentive to detail.
  • Available to work 10 hours per week during the semester and full time during IAP.

No prior experience is necessary, but the following are desirable:

  • Strong interest language, and ideally relevant prior/planned coursework.
  • Background in programming (in particular python and web programming).

Please include a CV and a copy of your transcript with your application.

Contact: Yevgeni Berzak: berzak@mit.edu.  Please include a CV and a copy of your transcript with your application.


8/15/19

Fall

UROP Department, Lab or Center: The MIT Energy Initiative (MITEI)

MIT Faculty Supervisor Name: Robert Armstrong

Project Title: Techno-economic analysis of the costs of advanced energy storage systems

Project Description: Does the topic of energy storage fascinate you? Have you ever wondered about some of the business cases for advanced energy storage systems, mespecially in the context of a low-carbon energy future? If yes, we have some exciting ongoing projects that you could work on. One of them is listed below.

Techno-economic analysis of the costs of advanced energy storage systems: Energy Storage Technology Assessment Tool Development (Fall 2019)

The project is on the development of a web-based energy storage technology cost/benefit assessment tool. Our research will examine the techno-economic tradeoffs between existing and emerging energy storage technologies. The initial framework as well as an online version of the tool has already been developed. The selected candidate will work on further developing the tool. In particular, and during the UROP period, we’ll seek to improve the existing website while investigating hydrogen-based systems. This is a great opportunity to learn about advanced energy storage technologies and how to evaluate their costs and benefits. We are looking for someone with a background in chemical engineering, programming and ideally have web development experience. Detailed requirements listed below.

Requirements:

  • Some fundamental understanding of electrochemical energy storage systems
  • Programming:
    • Fluency with Python
    • Modeling experience (preferred not required)
  • Web Development:
    • Experience with Django
    • Fluency in PhP
    • Experience in web programming and database development

For more information:

Apurba Sakti

Research Scientist, MIT Energy Initiative

sakti@mit.edu


8/15/19

Fall

UROP Department, Lab or Center: Biology (Course 7)

MIT Faculty Supervisor Name: J. Troy Littleton

Project Title: Investigating cell-type specific mechanisms of synaptic signaling in a simple genetic model system during development & aging

Project Description: The Littleton lab seeks to understand the molecular mechanisms of synaptic signaling during normal brain function and in disease models using Drosophila as the model system. To address this, we use a multidisciplinary combination of Drosophila genetics, molecular biology, calcium imaging, optogenetics, electrophysiology (whole-cell patch-clamp and sharp electrode physiology), super-resolution microscopy, single-cell RNAseq, biochemistry, and behavior assays.  We are looking for biology /BCS student/course 6/other engineering students to assist our efforts to carry out molecular biology, genetic screens, imaging and bioinformatics analysis. We will provide support and training in genetics, molecular biology, microscopy, and behavioral assays, if necessary. We offer a friendly environment for your training and learning. We are interested in addressing the following: 

  • Project 1 - Investigating the molecular mechanisms of cell-type synaptic signaling in drosophila models of aging, 
  • Project 2 - Bioinformatics analysis of RNA-seq gene expression profiles to study cell-type specific synaptic signaling mechanisms
  • Project 3 - Tracking the crawling behavior of larval Drosophila maggots and adult flies in various genetic backgrounds to study synaptic signaling.

Prerequisites: Great curiosity and enthusiasm to pursue multidisciplinary research. For project 1, some background in molecular biology and/or genetics might be preferred. For project 2 and 3, some background in programming (R or MATLAB or python is strongly preferred).

Relevant URL: https://littletonlab.mit.edu/home

Contact: Suresh Kumar Jetti: sureshj@mit.edu


8/15/19

Fall

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Ekene Ijeoma

Project Title: Poetic Justice

Project Description: Poetic Justice is a new group at MIT Media Lab which researches social issues and produces conceptual artworks ranging from websites and apps to sculptures, large-scale installations and music performances.

Some of our first projects include:

  • The Green Book Project, a series of publications and interactive installations developed through storytelling and mapping workshops that reimagine the Negro Motorist Green Book for “traveling while Black” in today's “New Jim Crows”.
  • The Scream Project, a series of publications and interactive installations which revive the Teotihuacan folklore/ritual of women practicing catharsis in the pyramids to contemporary urban spaces.
  • Look Up, an app-based public artwork that engages citygoers in being more present, aware and mindful.

Prerequisites: Poetic Justice is looking for applicants who are passionate about breaking down the complexities of social issues and building up visibility, accountability, and solidarity around them. Applicants should be interested or experienced in at least one of the following: hardware/electrical/mechanical engineering, software engineering, interaction design, information design, architectural design, urban design/planning, industrial design, graphic design, music, performance, film, writing/journalism, storytelling, and community organizing/activism.

Relevant URL: https://www.media.mit.edu/groups/poetic-justice/overview/

Contact: Rebecca Cuscaden: cuscaden@media.mit.edu


8/14/2019

Fall 2019

Department/Lab/Center: School of Engineering

Faculty Supervisor: Prof. Krystyn Van Vliet



Project Title: Cell Therapy Training



Project Description: Help create the first online course on how cell therapies are made. The FDA approved the first CAR-T cell therapy product, KymriahTM in August, 2017. The approval of CAR-T therapy marks the beginning of a new generation of products demonstrating significant efficacy in oncology applications. These products are a growing proportion of the therapeutic pipeline and there is a very clear and urgent need for educational materials in the cell therapy space. The goal of this project is to develop an educational curriculum and lecture materials to provide an understanding of how cell therapies are made. The course will be a combination of online content on the fundamentals of cell therapy manufacturing and a companion hands-on training component. The first three Learning Units will provide an overview of the field of cell therapy, an introduction to the basics of cell biology and immunology, and an overview of the regulatory requirements for cell therapies and what they mean to actual manufacturing practice. These units provide the context and background information needed for manufacturing a cellular product and illustrate the key differences between cell therapy and traditional protein and monoclonal antibody manufacturing. The remaining Learning Units will cover cell therapy manufacturing practices and analytics. Then there will be four hands-on modules that will cover the key manufacturing processes in cell therapy manufacturing.

Responsibilities: The UROP will be involved in all phases of creating the online material, including curriculum and evaluation design, researching subject matter, storyboarding video segments, and beta testing.



Prerequisites: Coursework in Biology and an interest in online learning.

Duration and Commitment: Start as soon as possible. Commit to 10 – 20 hours per week. End date is negotiable.

Wage: $13/hour or via credit



Contact: Please contact Flora J Keumurian florak@mit.edu  


8/13/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Cynthia Breazeal

Project Title: Qualitative Design Research Analysis of CoDesign with Older Adults

Project Description: Older adults are stereotypically excluded from technology design. Our work focuses on empowering older adults to be a part of technology design, specifically social robots, through participatory design and codesign. This year, we are engaged in a codesign study including several mixed-methods including interviews and art-based sessions. We are seeking a UROP to help with qualitative analysis of the interviews and art-based sessions. We encourage students who are highly independent and motivated to apply.

Prerequisites:

  • Highly independent and motivated individuals
  • Approximately 10 hours a week
  • Junior/Senior (preferred)
  • Interested in learning about qualitative research analysis techniques

Relevant URL: https://www.media.mit.edu/projects/designing-social-robots-for-older-adults/overview/

Contact: Anastasia Ostrowski: akostrow@media.mit.edu


8/13/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Cynthia Breazeal



Project Title: Design Research Data Analysis

Project Description: Our work focuses on empowering people to be a part of technology design, specifically social robots, through participatory design and co-design, and understanding how certain design features influence engagement and perception of these technologies. A variety of methodologies are used to accomplish this work including surveys and art-based activities. We are seeking a UROP to implement, create, analyze surveys around voice agent personality and to analyze results from an art-based activity session with older adults. We encourage students who are highly independent and motivated to apply (even if they don't meet all prerequisites listed).

Prerequisites:

  • Highly independent and motivated individuals
  • Approximately 10 hours a week
  • Junior/Senior (preferred)
  • Data analysis experience (preferred)
  • Basic statistics knowledge (preferred)
  • Python programming knowledge (for data analysis)
  • Jupyter notebook experience (optional)

Relevant URL: https://www.media.mit.edu/projects/shaping-engagement/overview/

Contact: Anastasia Ostrowski: akostrow@media.mit.edu


8/13/19

Fall/IAP

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: Joshua Tenenbaum & Laura Schulz

Project Title: The Moral Judgment of Young Children

Project Description: Our research uses theories derived from moral philosophy to try to understand how young children understand the moral world and make decisions about what is right and wrong.  RAs will be expected to work 8-12 hours/week.  Responsibilities will mostly involve running studies with preschool-aged children, preparing and setting up testing materials, data entry, and helping to pilot new experimental protocols. 

Prerequisites: Previous experience working with young children.

Relevant URL: https://sites.google.com/site/sydneymlevine/research

Contact: To apply, please send your CV and a cover letter describing your interest in the position to Sydney Levine smlevine@mit.edu.  Feel free to be in touch if you have questions about the position.


8/13/19

Fall/IAP

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: Laura Schulz

Project Title: Building an engaged participant userbase for online developmental research

 Project Description: The Lookit project is a new approach to research in developmental psychology. Rather than bring families to the lab to participate in studies about cognitive development, we've developed a website where parents and children can participate from home at any time, with video of the child's responses recorded via webcam and sent to the lab for later analysis. We are currently scaling this tool to allow researchers from any institution to post their own studies.

The pace of recruitment is a critical factor in the success of online research. In principle, testing online can allow access to both a more representative population and much larger sample sizes, over a much shorter timespan – which lets researchers measure effects more precisely and with adequate power, or run many experimental conditions and appropriate controls to better understand responses. However, while labs have established strategies for bringing families into the lab, no one really knows how best to recruit families to participate online. That’s where you come in: we’re looking for a responsible, motivated UROP to explore strategies and recruit families to participate. 

UROP responsibilities may include:

  • Identify and pursue opportunities for local, online, and media outreach/recruitment (e.g., family-oriented science events, online parenting message boards, parenting-focused blogs)
  • Design and post Lookit flyers in the Cambridge area
  • Manage social media accounts (Facebook, Twitter) and write content, experimenting with different strategies to engage users
  • Talk with families to understand their reactions to the idea of online studies and reasons for participating
  • Coordinate recruitment efforts with collaborating labs and evaluate the impact of various recruitment strategies
  • Propose & evaluate strategies for participant engagement (e.g., point systems for study participation, immediate feedback, ability to see or share own data, social media content)

Prerequisites: We are looking for a student with strong communication skills and experience working with children and families (babysitting counts!). Prior blogging, advertising, or social media experience a plus but not required. Must be available to work 6-10 hours/week for credit or direct funding.

Relevant URL: 

Contact: Kim Scott: kimscott@mit.edu


8/13/19

Fall/IAP

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: John Gabrieli

Project Title: Neurocognitive Basis of Response to Instruction in Children with Dyslexia

Project Description: Using a combination of neuroimaging and behavioral measures, the project investigates the neurocognitive of reading comprehension and response to reading instruction in children with dyslexia in second to fourth grades, the earliest point at which dyslexia can be reliably identified. We are seeking a UROP to help with data collection, preprocessing, and analysis of neuroimaging and behavioral data. Because we work with a school-aged population, assisting on evenings and weekends is required.

Prerequisites:

  • Able to assist scans and behavioral sessions on weekends throughout the fall
  • Availability to work 6-10 hours a week
  • Comfortable working with children (grades 2-4)

Please Contact: Please contact Dr. Ola Ozernov-Palchik and Jimmy Capella (oozernov@mit.edu, jcapella.mit@gmail.com) with a brief description about why you are interested in this project and how much time you plan on dedicating.


8/7/19

Fall

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Deb Roy

Project Title: Help Create a Digital Handbook for Literacy Coaches

Project Description: The Laboratory for Social Machines at the MIT Media Lab is looking for a UROP to assist in creating a digital version of our Coach Handbook for the Learning Loops program. The Learning Loops program supports children and their families in developing children's literacy and storytelling skills. As part of the Learning Loops program, literacy coaches are trained using the handbook and continually reference it for guidance during their time in this role. There have been several iterations of the handbook over the past couple of years, and we now aim to integrate it into our digital tools online. This UROP would work closely with a PhD student who is designing new sections of the handbook; make new features such as interactive web-based training exercises, infographics, and easily searchable content; and help run user studies to test these new features. If interested, please contact Sarah Ballinger (sballing@mit.edu).

Prerequisites: We are looking for a UROP with some background in basic web development and graphic design, who is interested in learning about curriculum design and development.

Learning Loops project page: https://www.media.mit.edu/projects/family-learning-coach/overview/

Contact: Sarah Ballinger: sballing@mit.edu


8/7/19

Fall/IAP

UROP Department, Lab or Center: Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT Faculty Supervisor Name: Polina Golland

Project Title: Machine Learning for Medical Image Segmentation

Project Description: We are developing neural network models to automatically segment the placenta embedded in magnetic resonance images (MRI) of the uterus. The placenta is a critical organ that forms during pregnancy and provides nutrients to support the growing fetus. The UROP project will focus on developing an end-to-end convolutional neural network model to automatically segment placenta volumes. We currently have a large data set with over 100 labeled images. The student will experiment with state-of-the-art network architectures, data augmentation techniques, and adversarial training.  There will be opportunity for temporal analysis as our dataset contains images acquired over time. The segmentation algorithm is an essential component of a larger pipeline that seeks to analyze placental biomarkers to identify pathology that affects the development of the fetus.

Prerequisites: 6.036

Contact: Mazdak Abulnaga: abulnaga@mit.edu


8/7/19

Fall/IAP

UROP Department, Lab or Center: Aeronautics and Astronautics (Course 16)

MIT Faculty Supervisor Name: Kerri Cahoy

Project Title: Star Tracker FPGA Programing Project

Project Description: UROP opportunity for a student with familiarity with the Xilinx SDK, specifically the Zynq 7000 family of FPGAs (we're using the 7010).  The project is implementation of the novel TETRA star tracker on the FPGA. See https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=3655&context=smallsat

and https://github.com/brownj4/Tetra/blob/master/tetra.py for more information. The FPGA code that needs to be implemented is just the streaming centroiding code, which is at this link (https://github.com/brownj4/FAST/tree/master/FPGA). The electronics are already complete and confirmed to be working and the camera/FPGA interface is done (we can take test pictures).  The project work involves implementing a space-constrained version of the python code on the FPGA.  Will need to use the 7010's built in memory blocks to save gates.

Prerequisites: Familiarity with the Xilinx SDK, FPGA programming, interest in space exploration.

Relevant URL:

Contact: Julian Brown: brownj4@mit.edu


8/7/19

Fall

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Ramesh Raskar

Project Title: Machine Learning for Extreme Imaging

Project Description: We are exploring the use of machine learning for extreme imaging such as seeing around corners and seeing through scattering media (i.e., fog). The responsibility of this position includes training neural networks and building physical experiment setups to demonstrate machine learning in practice. We are looking for students with experiences in machine learning and computer vision.

Prerequisites: Machine Learning

Relevant URL: https://www.media.mit.edu/groups/camera-culture/overview/

Contact: Tomohiro Maeda: tomotomo@mit.edu


8/7/19

Fall

UROP Department, Lab or Center: Chemical Engineering (Course 10)

MIT Faculty Supervisor Name: Michael Strano

Project Title: Carbon Fixing Materials

Project Description: Our group is developing a new class of biomimetic materials which are capable of using CO2 from the atmosphere and energy from sunlight to grown, strengthen, and reinforce. To realize such materials, we are investigating photocatalytic CO2 reduction as well as chemical routes to utilize the reduction products. During this project, you will gain extensive experience in the synthesis, characterization, screening, and product quantification of both inorganic and nanostructured photocatalysts.

Prerequisites: Any previous undergraduate level lab work is appreciated but not required: especially experience in UV-Visible spectroscopy.

Contact: Daniel Lundberg: Danieljl@mit.edu


8/7/19

Fall

UROP Department, Lab or Center: Economics (Course 14)

MIT Faculty Supervisor Name: Clare Balboni

Project Title: Firm/Transport Data for Environmental risk and trade in Pakistan Project

Project Description: I am looking for a student to help process firm data and transport data for a project on environmental risk and trade in Pakistan.

Prerequisites: The student would ideally have some experience in Stata or Python, though this is not essential.

Contact: Ruth Levitsky: levitsky@mit.edu


8/7/19

Fall

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Deb Roy

Project Title: Curate an Item Dataset for Kids to Make Stories with on StoryBlocks

Project Description: The Laboratory for Social Machines at the MIT Media Lab is looking for a UROP to augment the dataset of icons used in the children’s storytelling app StoryBlocks. In StoryBlocks, children create comic-book style stories by selecting characters, writing dialogue bubbles, and searching for items. When a child searches for an item using the item’s name, its icon appears, and the child can add the item to his/her story. Over the course of an 8-week pilot program of the StoryBlocks app run (Spring 2019), kids searched for items over 5,000 times. Using this search data, we would like a UROP to identify which items kids were searching for that they could not find, and make recommendations for new icons to add or create, and design ways to give kids feedback if an icon is unavailable. 

Prerequisites: We are looking for a UROP with some background in Python and graphic design, who is interested in learning how to use Amazon Turk to label data.

StoryBlocks project page: https://www.media.mit.edu/projects/storyblocks/overview/

Contact: Sarah Ballinger: sballing@mit.edu


7/30/19

Fall/IAP

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: Ed Boyden, Guoping Feng

Project Title: Neural Circuit Reconstruction for Better Modeling of the Human Brain

Project Description: We are developing an atlas of the marmoset brain, a relatively new model organism in neuroscience. Marmosets are important because they may enable better understanding of the human brain, since there are many aspects of higher brain function that cannot be adequately modeled in the most common species studied in neuroscience, namely mice. Our two research groups are engaged in a project to make an atlas for the marmoset brain, to enable neuroscientists to study this new model organism. UROPs will help with image processing, neural tracing, morphological neural reconstruction, and analysis of neuron shapes.

Prerequisites: The student must have an interest, and preferably experience, in image processing and brain science. No prior experience in machine learning is required.

Contact: Tay Shin: tayshin@mit.edu


7/30/19

Fall/IAP

UROP Department, Lab or Center: Chemical Engineering (Course 10)

MIT Faculty Supervisor Name: Michael Strano

Project Title: Probing fluids under extreme confinement

Project Description: The exotic behavior of fluids in nanometer-sized pores is little understood, despite its relevance for applications such as nanofiltration, desalination, or gas separation. To gain new fundamental insights, we design and perform experiments on individual solid state nanopores: carbon nanotubes. Their supreme quality, finely spaced diameter range, and direct accessibility makes them an ideal testbed for studying fluid transport and phase transitions within their interior.

You will gain significant hands-on experience with device fabrication/characterization and in conducting your own research project. A background or interest in physics, chemistry, or materials science is advantageous.

Prerequisites: Previous experience with optics/electronics is appreciated but not required.

Relevant URL: http://cent.mit.edu/

Contact: Matthias Kuehne: mkuehne@mit.edu


7/30/19

Fall/IAP

UROP Department, Lab or Center: Political Science (Course 17)

MIT Faculty Supervisor Name: F. Daniel Hidalgo

Project Title: Making Governments More Transparent: Using Big Data and Experiments to Change Government Behavior

Project Description: How transparent are local governments in the US? What kinds of pressures are most likely to induce local governments to improve their level of transparency? To answer these questions, I have developed a methodology using machine learning to measure the degree of government transparency in local government websites in the US.  This data has revealed wide variation in the degree to which local governments make it easy to observe their internal operations through budgets, meeting minutes, etc.  To understand the best way to reduce these disparities in transparency, I am engaging in a set of randomized trials where this information is given to either the governments themselves or to local media organizations.

Students in this UROP will help me improve the machine learning methodology and conduct the experiments. This will involve collecting and checking data, contacting governments  and local media sites, and conducting background research.

Prerequisites: Some prior experience working with data is beneficial, but not absolutely necessary.

Relevant URL: https://mitgovlab.org/updates/mapping-local-government-transparency-in-the-us/

Contact: Eliza Riley: e_riley@mit.edu


7/30/19

Fall/IAP

UROP Department, Lab or Center: Brain and Cognitive Sciences (Course 9)

MIT Faculty Supervisor Name: Edward Boyden

Project Title: Brain Technologies:  Develop cutting-edge methods for mapping molecular composition of the brain

Project Description: The Synthetic Neurobiology Group develops cutting-edge methods for mapping the wiring and molecular composition of the brain.  The UROP will  lead their own project starting this fall to develop and apply proteins for sensing and recognizing small molecules, alone and in combination for the multimodal mapping of large numbers of biomolecules throughout diverse cells and tissues in healthy and disease states.  UROP will help design, validate, and optimize protein engineering protocols, and help apply the resulting tools to normal and diseased brain tissue, and a diversity of other tissue types such as cancers. The  scientist will also help analyze the data.

Project will be associated to a publication expected to come out in 1-2 years, significant involvement will lead to authorship and letter of recommendation.

Preferred set of skills and experience:

  • 1-2 years previous lab experience
  • Required expertise with molecular cloning design and processing (eg PCR, gels, DNA purification), transfection.
  • Experience can include yeast/phage display, flow cytometry
  • Highly independent, curious, and  motivated individuals
  • Willingness to learn skills outside of background
  • Looking for 1-2 year commitment

Interpersonal skills, analytical/problem solving/critical thinking skills and good judgment are essential. Attention to detail, superb organizational, documentation, communication, and time management skills required. Seeking independent and self-motivated individual who is also able to work as part of a tightly-knit team. Demonstrated interest in biotechnology and biological tools research is preferred.

Contact: Alexi Choueiri: choueiri@mit.edu


7/30/19

Fall

UROP Department, Lab or Center: Urban Studies and Planning (Course 11)

MIT Faculty Supervisor Name: Joseph Ferreira

Project Title: Analyzing individual activity-travel patterns and long-term household decisions

Project Description: We are witnessing revolutionary and exciting changes in the mobility landscape involving infrastructure, technology, and policy. Of particular relevance are emerging modes like autonomous vehicles (AVs) and micro-mobility (like e-scooters), and services like mobility-on-demand (Uber, Lyft, etc.). While their impact on transportation infrastructure and use has received significant attention, we are more interested in understanding how these technologies will shape (or, rather, re-shape) our cities.

Some of the questions we work on exploring at our lab are:

  • Will AVs cause cities to spread out further, causing urban sprawl and increasing commute times?
  • Can increased accessibility from these services motivate people to give up their private cars, leading to a decrease in vehicle ownership?
  • Will these services cause people to change their activity spaces? 
  • How will their residential and work locations change? 

This particular project will use Singapore as a case study to analyze how these technologies cause people’s choices to change over time. More specifically, we are looking to analyze activity-travel patterns at the individual level (where, when, why, and how do people go where they do?) and long-term urban decisions at the household level (where do people live and work? who gets to use the car, and how do they use it?). We will be examining these decisions at a temporal scale, looking at changes over time, and trying to isolate the impact of these services by simulating different futuristic scenarios. In summary, we want this project to motivate you to think beyond the impact of new mobility technologies on transportation infrastructure and use, and broaden your horizon to examining how cities and metropolitan regions will change as a result. This project would be ideal for current and prospective 11-6 majors, and for students who are looking to explore urban applications of data science and engineering.

Prerequisites:

  • Interest in transportation, and urban planning and policy
  • Interest in learning how to work with microsimulations and big data
  • Interest in learning to analyze and visualize spatiotemporal data
  • Familiarity with statistical analysis (linear regression, hypothesis testing)
  • Experience with programming (Python)

Contact: Rounaq Basu: rounaq@mit.edu


7/30/19

Fall

UROP Department, Lab or Center: DMSE (Course 3)

MIT Faculty Supervisor Name: Rafael Jaramillo

Project title: Tape-casting chalcogenide thick films for infrared optical coatings and other applications

Project Description: We seek an MIT undergraduate to lead a research effort on tape casting sulfide thick films. The project will involve slurry materials selection and optimization, pre-deposition materials processing, film tape casting, post-deposition processing including sintering, and optical characterization of the resulting films. The project is of immediate interest of infrared optical systems, and may be more broadly relevant due to the novelty of the approach and the wide variety of materials and composites that could be processed.

The project could start immediately.

Requirements: The student should be comfortable with hands-on experimental work, including wet inorganic chemistry and materials handling, and thermal processing. The student should have experience with materials characterization with emphasis on X-ray diffraction and optical spectroscopy (e.g. spectrophotometry, FTIR). The student will take over leadership of this project from an outgoing summer intern. In addition to carrying out the research tasks, the student will be responsible for communicating result to the full research group on a regular basis.

Lab URL: jaramillo.mit.edu

Contact: Rafael Jaramillo: rjaramil@mit.edu


7/26/19

Fall

UROP Department, Lab or Center: Comparative Media Studies (21 CMS)

MIT Faculty Supervisor Name: Justin Reich

Project Title: Designing and Researching Digital Learning Experiences for Teachers

Project Description: Our multidisciplinary laboratory--the MIT Teaching Systems Lab (TSL)-- is comprised of engineers, learning designers, learning scientists, and social science researchers. We are looking for students with an interest in teaching, design-based research, data science, and learning analytics. The project focuses on designing and researching digital learning experiences for teachers such as online courses, simulations, and interactive games. 

Possible student tasks include:

  1. Developing basic web applications to simulate in-the-moment teaching decision
  2. Analyzing data from digital learning experiences
  3. Creating analytics dashboards for instructional designers
  4. Contributing to scholarly publications and conference presentations

Students will work closely with TSL researchers familiar with the detailed goals of the project and will gain hands-on experience in educational research.

Prerequisites: Previous experience working in educational settings and/or experience with social science research. Familiarity with R is preferred.

Contact: Joshua Littenberg-Tobias: jltobias@mit.edu


7/25/19

Fall/IAP/Spring

UROP Department, Lab or Center: Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT Faculty Supervisor Name: Polina Golland

Project Title: Machine Learning for Medical Imaging

Project Description: We are developing a neural networks model to quantify pathology in chest x-ray, which will enable clinicians to make better and personalized treatment plans for heart failure patients.  We have collected half a million chest x-ray images and the associated radiology reports. The UROP project will develop machine learning methods to visualize the detected patterns of pulmonary edema in the images, improve the accuracy of the model, and to expand the available labels for training.

Prerequisites: 6.036

Relevant URL: https://www.csail.mit.edu/research/chest-x-ray-analysis

Contact: Ray Liao: ruizhi@mit.edu


7/24/19

Fall

UROP Department, Lab or Center: Music and Theater Arts (Course 21M)

MIT Faculty Supervisor Name: Michael Cuthbert

Project Title: Reading Redux and More in Digital Humanities

Project Description: Working alongside Sandy Alexandre, Associate Professor in Literature, on her project “The Reading Redux”, UROPs will build a webapp that will analyze re-reading results and answer questions like, "What is the value in re-reading?", "How exactly do readers read differently upon re-reading a text?" and "Can we measure how a text’s significance to a reader changes over time?". While building these tools, UROPs will also be testing them and gathering relevant first-round data that will be applied to further research on this topic.

UROPs will also have the opportunity to work with Postdoctoral Associates in Digital Humanities on smaller, one-off projects building computational tools yet to be determined.

Prerequisites:

  • Coding Skills Required
  • Python and Javascript preferred
  • Interest and enthusiasm for the humanities encouraged!

Relevant URL: http://digitalhumanities.mit.edu/

Contact: Nicole Fountain: nicolelf@mit.edu


7/24/19

Fall

UROP Department, Lab or Center: Urban Studies and Planning (Course 11)

MIT Faculty Supervisor Name: P. Christopher Zegras

Project Title: Urban Agglomeration and Firm’s Location Decisions

Project Description: Why are there so many law firms and investment banks in Manhattan? Why are there so many tech start-ups in Silicon Valley? And are these clusters fundamentally any different from the auto manufacturing cluster in Detroit that was responsible for the city’s rise as well as subsequent decline?

In this project we seek a quantitative understanding of the factors that influence the location decisions of different (types of) firms. In particular, we want your help with:

  • Hypothesizing about and systematically categorizing the sources of firm agglomeration effects (knowledge spill-overs, labour pooling, competition, etc.)
  • Thinking of ways to describe these quantitatively;
  • Determining an appropriate modelling framework and structure for testing the above-mentioned hypotheses;
  • Coding a firm location choice model and estimating its parameters; and
  • Imagining future potential developments (e.g. vis-à-vis automation, reduction of transportation costs, etc.) and devising scenarios to explore these.

Prerequisites:

  • Interest in (learning about) the economics of urban agglomeration and choice modelling
  • Comfortable with statistical analysis
  • Experience with programming (Python)

Please submit your resume along with a statement of interest (<200 words) describing what you hope to learn/take away from this UROP.

Contact: He He: thehe@mit.edu


7/24/19

Fall/IAP/Spring

UROP Department, Lab or Center: Biological Engineering (Course 20)

MIT Faculty Supervisor Name: Ron Weiss

Project Title: Robust genetic circuits in mammalian cells for "smart therapeutics"

Project Description: One goal of synthetic biology is "smart therapeutics", where a programmed cell can integrate environmental signals to decide on the correct response. This research project focuses on designing, building, and testing highly robust mammalian genetic circuits to enable these therapeutics, with the goal of showing long-term circuit function in vivo. As a UROP, you would work on circuit design, DNA assembly, flow cytometry, and eventually in vivo studies (if you'd like).

I am looking for an excited, committed UROP. My mentorship style is quite hands-on, with an emphasis on developing your knowledge, scientific intuition, and communication skills.

Prerequisites: Students from any year are welcome! A strong foundation in biology is required.

Preferred but not required: experience with PCR, DNA assembly, and cell culture; experience reading scientific literature

What's most important to me is that you're excited about the research direction and process.

Contact: Noreen Wauford: noreen@mit.edu


7/17/19

Fall/IAP

UROP Department, Lab or Center: Whitehead Institute for Biomedical Research (WI)

MIT Faculty Supervisor Name: Sebastian Lourido

Project Title: Web tool development for mechanistic insights into RNA biology

Project Description: The Rouskin Lab at the Whitehead institute (www.rouskinlab.com) is looking to hire a  student preferably from the Computer Science department, or with substantial computation experience, over the summer of 2019 . The lab focuses on elucidation of RNA structure and its impact on biological processes and disease. This position represents an exciting opportunity to learn about our novel method to uncover alternative RNA structures using an Expectation-Maximization clustering algorithm. We are looking for a student to help integrate our code into a Web framework.

Prerequisites: Strong experience with the Python programming language, Web development with Django and version control using Git are desirable.

Contact: Silvi Rouskin: srouskin@wi.mit.edu


7/16/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Pattie Maes

Project Title: Wearable Lab on Body : Bio-Digital Devices for Health and Wellbeing

Project Description: The MIT Media Lab’s Fluid Interfaces group designs seamless interfaces for human augmentation. Building upon research from neuroscience, biotechnology, and machine learning, the Fluid Interfaces group designs systems that help us exploit the untapped powers of human body to supplement our natural abilities to support attention, memory, emotion regulation, creativity, learning, decision making and more. The group designs wearable and immersive systems that enhance people's cognitive abilities to enable them to maximize their potential. We are seeking motivational UROP(s) who are interested in working on a novel bio-digital wearable and ubiquitous device for realtime/continuous digital sensing and monitoring of biomarkers. Our aim for the project is to develop a system that is capable of:

  1. longitudinal/continuous monitoring of body biological data
  2. Plug and play system that can work with multiple biomarkers
  3. Easily adaptable bio-digital platform

You will be responsible for designing and testing the hardware arrangement. You will gain experience of working in an antidisciplinary setting: learn to integrate your work in field different from yours. This position is for Fall/IAP/Spring with potential for a longer term commitment.

Prerequisites: The project is open to students majoring in mechanical engineering, electrical engineering, computer science, and other relevant fields. The UROP must have solid experience in mechanical design and fabrication. Also experience in electronics, embedded programming or experience of working with wearables,  biological science wet lab is preferable but not necessary.

Relevant URL: https://www.media.mit.edu/projects/wearable-lab-on-body/overview/

Contact: Pat Pataranutaporn: patpat@media.mit.edu


7/16/19

Fall

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Ekene Ijeoma

Project Title: Poetic Justice

Project Description: Poetic Justice is a new group at MIT Media Lab which researches social issues and produces conceptual artworks ranging from websites and apps to sculptures, large-scale installations and music performances.

Some of our first projects include:

  • The Green Book Project, a series of publications and interactive installations developed through storytelling and mapping workshops that reimagine the Negro Motorist Green Book for “traveling while Black” in today's “New Jim Crows”.
  • The Scream Project, a series of publications and interactive installations which revive the Teotihuacan folklore/ritual of women practicing catharsis in the pyramids to contemporary urban spaces.
  • Look Up, an app-based public artwork that engages citygoers in being more present, aware and mindful.

Prerequisites: Poetic Justice is looking for applicants who are passionate about breaking down the complexities of social issues and building up visibility, accountability, and solidarity around them. Applicants should be interested or experienced in at least one of the following: hardware/electrical/mechanical engineering, software engineering, interaction design, information design, architectural design, urban design/planning, industrial design, graphic design, music, performance, film, writing/journalism, storytelling, and community organizing/activism.

Relevant URL: https://www.media.mit.edu/groups/poetic-justice/overview/

Contact: Rebecca Cuscaden: cuscaden@media.mit.edu


7/1/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Prof. Rosalind Picard

Project Title: Process and visualize call center employees longitudinal data

Project Description: The Affective Computing group, Media Lab is looking for UROP students who join us to develop tools to organize, analyze and visualize data from a study of employees’ wellbeing. The longitudinal measurements will be collected using mobile phones and wearable sensors. We will conduct a long-term ambulatory study of call centre workers with the goal of finding behavioral, physiological and social correlates of their performance and wellness. You will help us to analyze the collected data and to visualize the results.

Prerequisites: The student must have interests and experience in data analysis and visualization. Expertise in Python, Anaconda and longitudinal data processing is a plus.

Contact: If you are interested, please send an email to Szymon Fedor at sfedor@media.mit.edu with the following information:

  • Subject line: “UROP – first name, last name – years in college"
  • Content: Please write a short description (<200 words) that explains why you are interested and summarizes your relevant experience.  
  • Attachment: CV/resume

7/1/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Prof. Rosalind Picard

Project Title: Preprocess Measurements and Monitor Data Quality

Project Description: The Affective Computing group, Media Lab is looking for UROP students who join us to develop tools to preprocess and organize the data collected during clinical trials using mobile phones and wearable sensors. We will conduct long-term ambulatory measurement experiments for depressed patients at MGH to find new methods for diagnosis of depression. You will help us to preprocess, monitor its quality and analyze the collected data.

Prerequisites: The student must have interests and preferably experience in data preprocessing and analysis. Expertise in Python (e.g. Anaconda) and physiological signal processing is a plus.

Contact: If you are interested, please send an email to Szymon Fedor at sfedor@media.mit.edu with the following information:

  • Subject line: “UROP – first name, last name – years in college"
  • Content: Please write a short description (<200 words) that explains why you are interested and summarizes your relevant experience.  
  • Attachment: CV/resume

7/1/19

Fall/IAP

UROP Department, Lab or Center: Media Laboratory

MIT Faculty Supervisor Name: Rosalind Picard

Project Title: Process and Vizualize Sleep Measurements

Project Description: The Affective Computing group, Media Lab is looking for UROP students who join us to provide support with the analysis of the sleep measurements collected during clinical trials using wearable EEG sensors. We will conduct long-term ambulatory measurement experiments for depressed patients at MGH to find new methods for diagnosis of depression. You will help us to analyze the collected sleep data and to visualize the results. The student must have interests and experience in data analysis and visualization. Expertise in Python and sleep signal analysis is a plus.

Contact: If you are interested, please send an email to Szymon Fedor at sfedor@media.mit.edu with the following information:

  • Subject line: “UROP – first name, last name – years in college"
  • Content: Please write a short description (<200 words) that explains why you are interested and summarizes your relevant experience.  
  • Attachment: CV/resume