MSRP Faculty Mentors & Research Groups

The Office of Graduate Education asks MSRP applicants to identify at least 3 faculty members with who you are interested in conducting research during the summer. There are two ways to identify potential faculty mentors:

Browse the list of MIT Faculty who have expressed an interest in hosting an MSRP intern. Check back often as this is not an exhaustive list – faculty and research groups are added on a periodic basis.  

Visit the MIT School’s Faculty directories below to find additional faculty and learn about their current research.  We are willing to accept faculty of interest not listed on the page.  

Faculty interested in hosting and/or participating in summer 2021, please fill out this 2021 MIT Summer Research Program (MSRP) General Faculty Interest Form.

School of Architecture and Planning

Department Faculty Description of Research


Keywords: building energy efficiency, natural ventilation, COVID aerosol transmission

Assist in experimental study of ventilated roofs, aerosol transmission in building



Keywords: structural design, optimization, computational design, digital fabrication, low-carbon construction

I can design a summer project to match the interests of the intern(s), but most projects involve either experimentation with computational design methods and/or physical prototyping and testing of structural systems.



Keywords: sustainable buildings and communities, heat resilience, thermal comfort, building-grid interactions

Building and neighborhood design to maximize resilience during extreme heat events.



Keywords: structural design, sustainable architecture, masonry structures, history of engineering and architecture



Keywords: sustainable buildings, design, computation, energy

Develop an energy retrofitting and fiancing strategy for a given building type.



Keywords: self-assembly, 4D printing, programmable materials

We are attempting to grow islands and sand bars through the self-organization of sand using underwater geometries and wave energy.

Media Arts & Sciences


Keywords: Piezoelectric/ferroelectric materials, conformable (flexible/stretchable) wearable/implantable sensors, actuators, mechanical energy harvesters, microfabrication

Working on digital image correlation system to decode facial strain maps for non-verbal communication

Media Arts & Sciences


Keywords: digital fabrication, physics of computation, computation of physics


Media Arts & Sciences


Keywords: machine learning, video, style alteration, generative adversarial networks, information systems

Develop applications of machine learning networks to moving pictures and human interaction.

Media Arts & Sciences


Keywords: human computer interaction, machine learning for health, wearable devices, deepfakes

Flexible, but basically a project in Human Computer Interaction, strong programming or EE skills required

Media Arts & Sciences


Keywords: learning, creativity, educational technology, coding, equity

Create playful learning tools and toys, such as a light-up interactive jump rope, using the Scratch-based PixelPlay programming microworld and Neopixel LEDs.

Media Arts & Sciences DANIELLE WOOD

Keywords: justice, sustainability, space, satellites, antiracism

The mission of the Space Enabled research group is to advance justice in Earth’s complex systems using designs enabled by space. Our message is that six types of space technology are supporting societal needs, as defined by the United Nations Sustainable Development Goals. We strive to enable a more just future in which every community and country can easily and affordably apply space-enabled technology to improve public services and solve local challenges. The work toward our mission covers three themes: Research to apply existing space technology to support the United Nations Sustainable Development Goals Research to design space systems that are accessible and sustainable Research to study the relationship between technology design and justice. The project will be in one of the three themes mentioned above, based on the interests and skills of the student and our ongoing work.

School of Engineering

Department Faculty Description of Research
Aeronautics & Astronautics


Keywords: controls, optimization, transportation, aviation, networks

Range of projects on autonomous systems, transportation, and air traffic management

Aeronautics & Astronautics


Keywords: space, cameras, radios, CubeSats, lasers

Operations and Data analysis from on On-orbit CubeSat, the Deformable Mirror Demonstration Mission

Aeronautics & Astronautics


Keywords: robotics, robot perception, optimization, estimation, computer vision

Data collection and labeling to build 3D Dynamic Scene Graphs: View this video.

Aeronautics & Astronautics


Keywords: complex systems, space exploration, engineering design, technology roadmapping

Analysis of satellite imagery of complex systems using machine learning

Aeronautics & Astronautics


Keywords: aerospace, plasmas, combustion, lightning

plasma reactors, gas discharge physics experiments

Aeronautics & Astronautics


Keywords: hypersonic flows, hemodynamics

Cleaning the atmosphere with commecial aircrafts in flight–a flying laboratory

Aeronautics & Astronautics


Keywords: Space Systems, technology and policy of space, satellite design

Development of code for detailed space system analysis

Aeronautics & Astronautics


Keywords: space exploration, astrodynamics, orbits, satellites

Astrodynamics of Satellite Orbits

Aeronautics & Astronautics


Keywords: Space propulsion, materials, satellites, asteroids, microfluidics

This project is about developing electrospray propulsion technologies for space missions. In particular we are interested in creating the process to prepare laboratory devices for flight.

Aeronautics & Astronautics


Keywords: uncertainty quantification, computational science, computational statistics, machine learning, applied mathematics

Our summer project will, broadly speaking, involve the development, implementation, and validation of new computational methodologies for statistical inference, motivated by physical applications. Applications currently of interest to the group include earth remote sensing, sea ice modeling, space weather, and the degradation of materials in extreme environments. The focus of the project, however, will be on computational methodology – grounded in computational statistics and machine learning.

Aeronautics & Astronautics


Keywords: computational mechanics of solids and structures, hypersonics, Massively-parallel computing

Physics-informed Neural Networks for Predicting Structural Failure

Aeronautics & Astronautics


Keywords: autonomy, robotics, drones

Aeronautics & Astronautics


Keywords: nanomaterials, advanced composites, multifunctional attributes of structures, microfabricated (MEMS) topics

We have a range of research avenues ongoing within our lab where a summer intern could contribute in a meaningful fashion. Some topics are several multifunctional materials projects, nanoengineered aerospace composites, new catalysts and processes for synthesizing nanofibers, new ceramic nano fiber arrays (lots of topics here now to explore going beyond our CNT work), and AI-driven segmentation of 3D datasets (both 3D TEM and 3D computed tomography, including our most recent datasets from SPring8 synchrotron in Japan).

Biological Engineering


Keywords: nanotechnology, vaccines, quantum computing, molecular computing, DNA origami

Use DNA nanotechnology to design novel vaccines for coronaviruses

Biological Engineering


Keywords: immunology, cell profiling, immunotherapy

Profiling the transcriptional mechanism of superior CAR-T function

Biological Engineering


Keywords: neurotechnology, neural circuits, molecular tools, optics, emotions

We have a diversity of projects relating to: creating new molecular tools that can help solve major biological mysteries and medical problems, and creating new behavioral paradigms in small animals to study decision making and emotions across entire brains.

Biological Engineering PETER DEDON

Keywords: infectious disease, cancer, epigenetics, epitranscriptomics, mass spectrometry

We discovered that all organisms, including viruses, bacteria, yeast, parasites, rodents and humans, respond to stresses by undergoing translational reprogramming in which changes in >50 modified ribonucleosides in tRNAs ‚Äì the tRNA epitranscriptome ‚Äì drive selective translation of stress-response mRNAs possessing codon biases that match the reprogrammed tRNAs. Families of stress response genes share a common codon usage pattern, which points to alternative genetic information to facilitate “just-in-time” translation for adaptation and survival. The project will entail both wet and dry experiments to quantify this mechanism in Alzheimer’s disease, several cancers, and a variety of infectious diseases, with the goal of identifying potential targets for developing therapeutics and diagnostic biomarkers.

Biological Engineering ERNEST FRAENKEL

Keywords: systems biology, neurodegeneration, machine learning, computational biology

Identifying mechanisms of neurodegenerat

Biological Engineering JONGYOON HAN

Keywords: microfluidics, desalination and water purification, biosensing, biomanufacturing, cell therapy

We are building a bioparticle preconcentration system that can collect and concentrate small number of particles found in air or liquid. This could lead to significantly enhanced detection of airborne virus or minute amount of disease biomarkers in biofluids.

Biological Engineering ANDERS HANSEN

Keywords: 3D Genome, biophysics, molecular biology, microscopy, gene regulation

Studies on 3D genome structure and function

Biological Engineering DARRELL IRVINE

Keywords: immunology, cancer immunotherapy, vaccines, drug delivery

The Irvine lab has a range of ongoing projects in the development of new cancer immunotherapies and technologies toward the development of an HIV vaccine.

Biological Engineering FOREST WHITE

Keywords: systems biology, signaling networks, cancer, therapeutic tesistance, immunotherapy

Experiments to investigate signaling network control of cancer metabolism.

Chemical Engineering FIKILE BRUSHETT
Keywords: electrochemical engineering, energy storage, energy conversion, redox flow batteries, carbon dioxide electrolysis
Modeling and experiment of gas-fed carbon dioxide electrolyzers.
Chemical Engineering CONNOR COLEY
Keywords: machine learning, chemistry, molecular design, automation, drug discovery
We have many projects related to applying machine learning to drug discovery, understanding chemical reactions, and designing new molecules. One example would be an investigation of how underspecification in graph neural networks can lead to differences in molecular property prediction behavior
Chemical Engineering KATIE GALLOWAY

Keywords: synthetic biology, stem cells, systems biology, 3D genome

Optimizing reprogramming systems through synthetic biology

Chemical Engineering WILLIAM GREEN

Keywords: chemical kinetics, quantum chemistry, machine learning

Help us develop computational methods for predicting reactions.

Chemical Engineering PAULA HAMMOND


Chemical Engineering


Keywords: automated experimentation, machine learning, data analytics

machine learning and automated chemical experimentation

Chemical Engineering HEATHER KULIK

Keywords: computational chemistry, machine learning, catalysis, quantum mechanics, enzmes

Students will use and develop software for high-throughput screening and machine learning in transition metal catalysis for the discovery of new materials. This project is part of the Kulik lab’s computational chemistry research efforts.

Chemical Engineering KRISTALA PRATHER Keywords: metabolic engineering, synthetic biology
Chemical Engineering HADLEY SIKES

Keywords: medical diagnostics, kinetics, transport, antibiotic stewardship, protein engineering

Antimicrobial resistance, whereby inexpensive treatments we currently have to treat common microbial pathogens become ineffective, is a future threat that can be addressed now with more judicious use of antibiotics. The summer intern project will focus on diagnostic testing to support antimicrobial stewardship, either in medical practice or in food production according to the interests of the intern. The project can be laboratory-based (experiments at the bench) or computational or a mix of both according to the interests of the intern.

Civil & Environmental Engineering


Keywords: ecology, phytoplankton, oceanography, photosynthesis

Study how gene regulation helps marine phytoplankton respond to changes in the ocean

Civil & Environmental Engineering


Keywords: plants, genetics, evolution, physiology, genomics, gene regulation

Identifying and characterizing genes involved in the control of growth rate variation in grasses

Civil & Environmental Engineering COLETTE HEALD

Keywords: atmospheric chemistry, air quality, modeling

Analysis of measurements to understand the impact of Covid lockdowns on air pollution

Civil & Environmental Engineering JESSE KROLL

Keywords: atmospheric chemistry, air quality, aerosols

Laboratory studies (or data analysis) investigating the chemical formation of atmospheric organic aerosol

Civil & Environmental Engineering TAMI LIEBERMAN

Keywords: microbiome, evolutionary biology, computational biology, genomics, phage

We have multiple projects available. We have computational projects on developing open-source tools for microbial genomics and an experimental projects on phage-bacteria interactions.

Civil & Environmental Engineering HEIDI NEPF

Keywords: environmental fluid mechanics, green infrastructure, experimental fluid mechanics

Design and construct models of seagrass, marsh grass, and/or mangroves for lab-scale experiments to understand how coastal vegetation impacts erosion and sediment transport. Some opportunity for field work on seagrass restoration project

Civil & Environmental Engineering DESIREE PLATA

Keywords: environmental chemistry, environmental justice, agriculture, plastic, hydraulic fracturing

Organic chemical analysis of environmental samples; includes field work and lab work

Civil & Environmental Engineering CATHY WU

Keywords: reinforcement learning, transportation, autonomy, control, machine learning

Recent research has found that a small fraction of carefully controlled vehicles could mitigate or even eliminate traffic jams. Due to safety concerns, carefully controlled vehicles in the form of self-driving cars is still a ways away. However, trained human drivers may be able to bring this social good to our cities sooner rather than later. This project involves building an app or game to assess how well human drivers may be able to cooperate with others to help alleviate traffic congestion.

Electrical Engineering & Comp. Science ELFAR ADALSTEINSSON

Keywords: magnetic resonance imaging (MRI)

MRI in pregnancy

Electrical Engineering & Comp. Science JACOB ANDREAS

Keywords: natural language processing, machine learning

More truthful & fluent models for machine generation of text.

Electrical Engineering & Comp. Science HARI BALAKRISHNAN

Keywords: networks and mobile systems

Wireless beamforming or network congestion control

Electrical Engineering & Comp. Science  MARC BALDO

Keywords: solar cells, displays, spintronic computing

Either developing more efficient solar cells or a new computing technology for solving optimization problems

Electrical Engineering & Comp. Science KARL BERGGREN

Keywords: nanofabrication, quantum, superconductivity, ultrafast optics, electrons

Next generation superconducting devices for quantum computing.

Electrical Engineering & Comp. Science ROBERT BERWICK

Keywords: human intelligence, language, language acquisition, machine learning

How do children learn language? Looking at what kids do & building a computer model

Electrical Engineering & Comp. Science ADAM CHLIPALA

Keywords: formal verification (software and hardware), compilers, programming languages, computer security

Machine-checked mathematical proof of correctness for software and/or hardware in embedded systems.

Electrical Engineering & Comp. Science


Keywords: electron devices, transistors, nanotechnology, neuromorphic devices

electrical characterization of electronic devices fabricated by group
Electrical Engineering & Comp. Science FREDO DURAND

Keywords: computer graphics, computational photography

The project scope is flexible but main topics include inverse rendering and deep learning for face deblurring.

Electrical Engineering & Comp. Science DIRK ENGLUND

Keywords: photonics, quantum computing, quantum technology

Quantum system-on-chip integration

Electrical Engineering & Comp. Science PHILLIP ISOLA

Keywords: AI, computer vision, machine learning, generative models, representation learning

I am open to a variety of projects in the areas my group studies. One possibility is to apply the idea of contrastive multiview learning to learning from synthetic rendered data, where essentially we would learn to map different rendered views of a 3D scene to the same representation vector.

Electrical Engineering & Comp. Science LESLIE KAELBLING

Keywords: robotics, planning, learning

Robot manipulation of objects from partial information

Electrical Engineering & Comp. Science DAVID KARGER

Keywords: human computer interaction, online discussion, social media, end-user programming, data interaction

Integrative analysis of single-cell data in human disease

Electrical Engineering & Comp. Science MANOLIS KELLIS

Keywords: genomics, neuroscience, epigenomics, disease circuitry, computational biology

Integrative analysis of single-cell data in human disease

Electrical Engineering & Comp. Science


Keywords: robotics, motion planning

Robot task and motion planning

Electrical Engineering & Comp. Science LUQIAO LIU

Keywords: spintronics, magnetic memory, magnetic materials

In this project, the student will use experimental and numerical approach to study hybrid quantum systems with magnons.

Electrical Engineering & Comp. Science SAMUEL MADDEN

Keywords: software systems, data analytics, databases, mobile sensing

Help build a next generation data analytics system for efficiently processing large volumes of data.

Electrical Engineering & Comp. Science ALEKSANDER MADRY

Keywords: machine learning, computer vision, robustness, deep learning

Machine Learning Robustness

Electrical Engineering & Comp. Science STEFANIE MUELLER

Keywords: 3D printing, electronics, smart materials, human-computer interaction, design

Our work focuses on engineering novel interactive devices, we build new hardware from 3D printed parts and electronics, have a wetlab for mixing new materials, write programs for 3D editors and other design tools.

Electrical Engineering & Comp. Science FARNAZ NIROUI

Keywords: nanotechnology, molecular electronics, light-matter interaction, nanofabrication

Design and fabrication of molecular devices.

Electrical Engineering & Comp. Science JELENA NOTAROS

Keywords: integrated silicon photonics devices, systems, and applications

Integrated photonics platforms, devices, and systems for applications including displays, sensing, communications, quantum, and biology. Emphasis on integrated optical phased arrays for LiDAR and augmented reality.

Electrical Engineering & Comp. Science


Keywords: superconducting circuits, nonlinear optics, quantum computing, metamaterials

Quantum circuit design

Electrical Engineering & Comp. Science ASU OZDAGLAR

Keywords: optimization, machine learning, networks, game theory

Examine robustness properties of machine learning algorithms

Electrical Engineering & Comp. Science DAVID PERREAULT

Keywords: Power Electronics, energy

Investigation of high-performance passive components for power electronics

Electrical Engineering & Comp. Science



Electrical Engineering & Comp. Science RONITT RUBINFIELD

Keywords: algorithms, sampling, combinatorics, probability

Implement various sublinear time algorithms and test on large datasets to evaluate performance.

Electrical Engineering & Comp. Science  ARVIND SATYANARAYAN

Keywords: visualization, user interfaces, human-computer interaction, data science, machine learning

I’m open to projects (and my group has existing projects available) about building new visualization systems, studying how visualizations are used by society, or how visualizations can help us interpret machine learning models.

Electrical Engineering & Comp. Science MAX SHULAKER

Keywords: nanotechnology, nanomaterials, electronics, computing

Characterization and Optimization of Carbon Nanotube-based Electronic Devices

Electrical Engineering & Comp. Science ARMANDO SOLAR-LEZAMA

Keywords: program synthesis, AI, programming systems

Work on exploring new program synthesis techniques.

Electrical Engineering & Comp. Science JUSTIN SOLOMON Keywords: geometry, machine learning, graphics, vision, 3D
Electrical Engineering & Comp. Science DAVID SONTAG

Keywords: machine learning; artificial intelligence; healthcare; personalized medicine

Projects will develop machine learning methods for early diagnosis of chronic conditions such as Type 2 diabetes, chronic kidney disease, and irritable bowel syndrome, using large-scale health datasets.

Electrical Engineering & Comp. Science COLLIN STULTZ 

Keywords: machine learning for healthcare

Applying machine learning methods to answer clinical questions

Electrical Engineering & Comp. Science  JOEL VOLDMAN

Keywords: microfluidics, health, diagnostics

Microfluidic tools for immune monitoring

Electrical Engineering & Comp. Science CARDINAL WARDE

Keywords: training artificial neurnal network hardware

Training artificial neurnal network hardware

Electrical Engineering & Comp. Science


Keywords: hand-held MRI, computational science

Magnet Design for Hand-Held MR Imaging.

Electrical Engineering & Comp. Science MENGJIA YAN

Keywords: computer architecture, hardware security, side channels

Exploring Micro-architectural Vulnerabilities

Electrical Engineering & Comp. Science LIZHONG ZHENG

Keywords: signal processing, machine learning, information theory, statistics,

The summer projects in our lab are mostly numerical experiments, using Python, to evaluate, verify, and sometimes improve the design of some learning algorithms, mostly in the area of transfer learning and multimodal learning.

Materials Science & Engineering POLINA ANIKEEVA

Keywords: Bioelectronics, neural interfaces, nanomaterials, optoelectronics

Multifunctional neural interfaces

Materials Science & Engineering RAFAEL GOMEZ-BOMBARELLI

Keywords: machine learning, materials science, computer simulations, polymers, catalysts

Use of machine learning models to predict protein-protein interactions and/or molecular design

Materials Science & Engineering RAFAEL JARAMILLO

Keywords: semiconductors; photonics; electronics; solar energy conversion

1) tape casting chalcogenides; 2) automated solar module cleaning

Materials Science & Engineering JAMES LEBEAU

Keywords: materials science, electron microscopy, machine learning, electronic materials, instrumentation

The project will focus on applying atomic resolution scanning transmission electron microscopy, machine learning, and instrument control tools to study fundamental relationships between structure and properties of electronic materials.

Mechanical Engineering SILI DENG

Keywords: energy, emission, machine learning, combustion, battery

1) Physics-informed machine learning for energy applications; 2) Flame spray pyrolysis for materials manufacturing

Mechanical Engineering NICK FANG

Keywords: nanophotonics, acoustics, super-resolution, microfabrication

Advancing super resolution using acoustic metamaterials

Mechanical Engineering



Mechanical Engineering


Keywords: Micro/nanofluidics, nanomaterials, devices

Intern will work with two mentors on projects related to device for separation of bacteria for sepsis diagnostics, and membranes for energy-related separations

Mechanical Engineering PIERRE LERMUSIAUX

Keywords: computing, ocean modeling, uncertainty quantification, machine learning, estimation, and control

We are very happy and interested in hosting several MSRP students in our research group. We have a very wide range of projects with multiple applications. Check our “Project” page for more information. Don’t hesitate to reach out if you have questions.

Mechanical Engineering ANTHONY PATERA

Keywords: computation, heat transfer, problem solving software, education

Development of Artificial Student software to solve undergraduate heat transfer problems.

Mechanical Engineering GIOVANNI TRAVERSO 

Keywords: ingestible robotics, biomedical device development

We would like to recruit an undergraduate student to work on design, fabrication, and testing of a mechanical system that enables long-term GI residence. The student will also have the opportunity to learn the design and fabrications of state-of-the-art, body-interfaced, and ultra-flexible mechanical sensors. The student will work closely with a postdoctoral associate who has ample experiences in these areas.

Mechanical Engineering KAMAL YOUCEF-TOUMI

Keywords: nanotechnology, robotics, automation, computational intelligence

Atomic Force Microscope (AFM) is a powerful instrument for nanoscale imaging and manipulation. At the MIT Mechatronics Research Lab, we have years of experience developing AFMs for new capabilities including high-speed imaging for dynamic process visualization, coated active cantilever probes for operation in new environments such as opaque liquids, etc. New functionalities are realized by subsystem level development of nano-positioners, cantilever probes, controllers, and imaging algorithms. For 2021 summer, we are looking for talented researchers with interest in precision instrumentation and mechatronic systems to join our work on next generation AFMs. The research is better conducted in-person where participants obtain significant hands-on experience using state-of-the-art lab equipment. Considering the pandemic situation, online research opportunities are also available with focus on controller design and data-driven imaging algorithm development.

Mechanical Engineering EVELYN WANG

Keywords: heat transfer, nanoengineering, phase change, water sustainability, thermal management

Developing high-performance passive solar desalination for sustainable water production

Nuclear Science & Engineering EMILIO BAGLIETTO

Keywords: CFD, Boiling, Multiphase Flow, Turbulence, Nuclear

The project will be tailored toward the interest of the student and could involve model development or application for a complex heat transfer challenge. The focus is on advancing the physical understanding and propose/test ideas to improve the modeling.

Nuclear Science & Engineering JACOPO BUONGIORNO

Keywords: nuclear technology, clean energy, nuclear battery

This project will study the techno-economic feasibility of utilizing 6 megawatts of carbon-free, low-grade heat (40-50 degree C) generated by the MIT Nuclear Reactor, located on the MIT campus in Cambridge. Possible uses include local heating (for adjacent dorms and/or nearby Zesiger center), electric production (using thermo-electric devices) and horticulture (greenhouse for research, urban farming, algae growth).

Nuclear Science & Engineering


Keywords: quantum computing, quantum sensing

quantum control of NV centers in diamond and other spins for quantum information

Nuclear Science & Engineering NUNO LOUREIRO

Keywords: plasma physics, theory, simulations, fusion

Nuclear Science & Engineering MICHAEL SHORT

Keywords: nuclear, materials, radiation, fusion, lasers

Picosecond laser ultrasound spectroscopy to vet and down-select fusion reactor structural materials

School of Humanities, Arts, & Social Sciences

Department Faculty Description of Research
Comparative Media Studies


Keywords: Online learning, teacher education, simulation

We have several projects available in the lab including: helping to facilitate an online course for teachers about anti-racism, supporting communities of teacher educators in implementing simulations, analyzing data from online courses and teaching simulations, investigating the effects of the pandemic on teaching and learning.



Keywords: public policy economics

To assist in developing a data base of key policies to improve the long term care of our nations elders and to do statistical analysis of this data

History, Anthropology and Science, Technology and Society


Keywords: language, communication, linguistic anthropology, social media, digital media

Depending on the applicant’s interests, we can either incorporate them into one of or current projects or potentially develop a new line of research for the summer. Some of our current projects focus on combining qualitative and quantitative approaches to studying social media, with a particular emphasis on scientific misinformation and disinformation.

Linguistics & Philosophy


Keywords: language acquisition, language, syntax, semantics, cognitive development

How do children develop the ability to speak and understand language? This project involves designing and carrying out behavioral experiments with 2-5-year-olds that will assess their knowledge of how language encodes meaning (semantics).

Linguistics & Philosophy


Keywords: gender, co-design, menstrual management, sexual/reproductive health, sport

The project will continue work in the D-Lab Gender and Development course (Fall 2019, Fall 2020) in partnership with an organization in Kenya. We have been designing a sexual/reproductive health curriculum and working on co-designing resources for menstrual management.

Linguistics & Philosophy



Political Science


Keywords: data, elections, government transparency, democratic representation

Government Transparency in Local Government

Political Science


Keywords: elections, redistricting, voting rights

There are at least two projects a summer intern could help with. The first is preparing a dataset of election returns that will be used by academics and citizens in redistricting. The second will be contributing to a study about the effects of polling place closures in the 2020 election.

School of Science

Department Faculty Description of Research

Keywords: synthesis, molecular structure, chemical bonding, reactivity, reaction mechanisms

Bonding in unusual phosphorus compounds


Keywords:chemistry, synthesis, technology, automation

Development of New Technology for Automated Chemical Synthesis


Keywords: polymers, recycling, batteries, cancer therapy, 3D printing

This project will involve developing new ways to recycle plastic.


Keywords:chemical biology, infectious disease, microbiome, glycobiology, immunology

Develop new strategies to combat microbial disease through understanding how they build their carbohydrate-rich cells and how our immune system recognizes them.


Keywords: chemical biology, protein chemistry and biology, enzymology, biomaterials, bioorganic chemistry

Chemistry to understand and control life processes.


Keywords: chemical biology, protein folding, biochemistry, proteostasis, disease

The project can focus on engineering cellular protein folding environments to address disease, directed evolution of new biotechnologies, fundamental biochemical and biophysical studies on protein (collagen) folding, and more.



Keywords: polymers, materials, sensors, electronic, synthesis

Investigations of porous polymers or chemical sensors.



Keywords: photochemistry, computer science, renewable energy

Simulating molecular photovolatic materials



Keywords: theoretical and computational chemistry; 3D genome organization; machine learning; molecular dynamics

Visualizing Molecular Dynamics Simulations with Virtual Reality Toolsets

Earth, Atmospheric & Planetary Science


Keywords: biogeochemistry, microbial ecology, microbiology, chemical oceanography

The Bablab investigates bacteria and the role they have in shaping Earth’s chemical environment, from the local scale to that of planetary climate. Depending on student interest(s), the project will focus on nitrogen biogeochemistry and the metabolism of denitrification, using cell culturing techniques, microscopy and/or microfluidics to delve into the regulation of specific denitrification genes. The results of these studies will permit us to ascertain better the role microorganisms play in shaping the greenhouse gas budget on Earth.

Earth, Atmospheric & Planetary Science


Keywords: climate, environmental change, Earth History

This summer we would be excited to welcome an MSRP student to become involved in our research and outreach efforts. If the Summer Internship is remote, the research portion of the summer would explore Earth’s climate archives in deep time. The Intern would work with existing datasets and add to them during their time in the group. If the Internship is in person, the Intern would also be involved in hands on work in the lab. The Internship entails an outreach component teaching and working with high school students learning about the Earth and Environmental Justice.

Earth, Atmospheric & Planetary Science


Keywords: oceanography, chemistry, Pb, Cr, paleoclimate

Analyses of Pb and Cr isotope in environmental samples

Earth, Atmospheric & Planetary Science


Keywords: earthquakes, tectonics, geophysics, seismicity

Simulations of earthquake sequences on complex faults caused by natural or anthropogenic processes (fluid injection).

Earth, Atmospheric & Planetary Science


Keywords: oceanography, microbes, ecology, physiology, theory

Interpreting and understanding the biogeography and activity of marine microbes through data analysis, theory and modeling

Earth, Atmospheric & Planetary Science


Keywords: geophysics, earthquakes, tectonics, seismology, geodesy

Observational earthquake science

Earth, Atmospheric & Planetary Science


Keywords: tectonic and climate change, magmatism, field work

Earth, Atmospheric & Planetary Science


Keywords: paleoclimate, climate change, geochemistry, precipitation, water

We have a variety of projects focused on using stalagmites, lake deposits and other natural climate archives to understand how precipitation patterns have changed when climate has changed in the past.

Earth, Atmospheric & Planetary Science


Keywords: cryosphere, sea-level rise, glacier dynamics, remote sensing, Antarctica

Studying stability of Antarctic Ice Sheet, its response to climate change, and contribution to sea-level rise

Earth, Atmospheric & Planetary Science


Keywords: climate change; rainfall extremes; machine learning

The proposed research would involve studying the effect of climate change on extreme rainfall events that have a large effect on society. The approach used will be chosen to suit the student’s interests. Possible approaches include using statistical analysis of events, machine learning and studying the underlying physical mechanisms.

Earth, Atmospheric & Planetary Science


Keywords: experimental rock deformation, microstructures, ultrasound surveying, rheology, flow and fracture

The brittle-ductile transition in Carrara marble

Earth, Atmospheric & Planetary Science


Keywords: topography, planets, rivers, remote sensing, environment

Multiple potential projects related to the physical and chemical mechanisms that shape the surfaces of Earth and other planets. Examples include the effects of climate on rivers, the influence of topography on biodiversity, and the record of past climate and tectonics on Mars.

Earth, Atmospheric & Planetary Science


Keywords: natural hazards, learning systems, autonomous systems, pattern recognition

Combine Physics and Machine Learning to model Natural Hazards in a changing climate



Keywords: PDEs, optimization, optics, waves, scientific computation



Keywords: x-ray astrophysics, x-ray spectroscopy, neutron stars, black holes

Multiple projects involving analysis of data from Chandra X-ray Observatory



Keywords: quantum materials, spectroscopy, magnetism, superconductivity

Study of two-dimensional magnetic materials using optical techniques and Monte Carlo numerical simulations



Keywords: physics, QCD, nuclear, experiment, phenomenology

Our lab leads a variety of studies of the structure of atomic nuclei. Work span a range of activities, from phenomenology to simulation studies, detector construction and data analysis. 


Keywords: astrophysics, black holes, transients, accretion, X-rays

What happens when a star gets ripped apart by a black hole?


Keywords: astrophysics, black hole feedback, galaxy evolution, galaxy cluster evolution

The goal of this project will be to understand the co-evolution of supermassive black holes and their host galaxies.


Keywords: cosmic, particle, experiment, dark matter

Prof. Perez’s group uses cosmic particles to look for beyond the Standard Model physics, in particular evidence of dark matter interactions. The proposed summer research topics include simulated data analysis for the GAPS experiment, an Antarctic balloon-borne instrument that aims to detect antideuteron and antiproton evidence of dark matter processes, as well as data analysis of astrophysical X-ray observations to search for light dark matter.


Keywords: particle physics, machine learning

Our research is aimed at maximizing the discovery potential of particle physics experiments like the Large Hadron Collider (LHC) by merging novel data analysis strategies with insights from theoretical physics. The proposed research would involve scrutinizing public LHC data for signatures of new phenomena using a combination of supervised and unsupervised machine learning techniques.



Keywords: gravitational waves black holes LIGO

We use gravitational waves emitted by catastrophic astrophysical events to understand the universe in which we live



Keywords: dark matter, neutrinos, particle and nuclear physics

The group works on projects in Italy, Japan and here at MIT. Interns will be given a combination of hardware projects and analysis projects depending on their interests and our ability to do work on campus.

Sloan School of Management

Department Faculty Description of Research


Keywords: optimization modeling, optimization algorithms, training machine learning models

Any optimization modeling problem, preferably in operations research, business, or machine learning.



Keywords: marketing, digital economics, privacy, advertising, innovating


Department Faculty Description of Research
Computational Biology


Keywords: sex differences in health and disease, genomics, sex chromosomes

Institute for Data, Systems & Society


Keywords: misinformation, social media, fake news, cooperation, outrage

Helping design, build, and run studies exploring why people share misinformation online (e.g. political “fake news” of COVID-19 misinformation), and what interventions technology companies can use to reduce the spread of misinformation.

Institute for Data, Systems & Society


Keywords: energy systems

Evaluating hardware and sofware for energy storage to support decarbonization.

Institute for Medical Engineering Science


Keywords: tissue engineering, blood brain barrier, mental health, cardiovascular disease, global

Artificial intelligence (AI) and digital phenotyping offer a unique opportunity to bring measurement-based decision support to psychiatry. Advances in AI have shown to be effective in images, voice processing and language understanding, however the use of AI-methods for multi-modal behavioral data analysis have been limited. Heterogeneity in psychiatric disorders can manifest in symptoms, disease course, and biological factors. Understanding the heterogeneity promises to yield to effective personalized treatments. To quantitatively and effectively measure depressive illness progression, we propose the use of mobile phone sensors to measure human behavior. This proposal seeks to investigate heterogeneity of depression progression conditioned on the behavioral information collected from the study participants. Although personal sensing research is still in very early stages, it holds great promise as a method for conducting fundamental mental health research and as a clinical tool for monitoring at-risk populations that will allow the next generation of mobile health interventions.