Research

Impact Areas

Lead

Una-May O'Reilly

Research Group

Center for Brains, Minds and Machines

Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

Impact Areas

Lead

Tomaso Poggio

Research Group

Clinical Decision-Making Group

We focus on furthering the application of technology and artificial intelligence in medicine and health-care.

+10

Peter Szolovits

Leads

Peter Szolovits

Research Areas

Impact Areas

Lead

Peter Szolovits

+10

Peter Szolovits

Research Group

Clinical Machine Learning Group

Our group is interested in using machine learning and artificial intelligence to transform health care.

David Sontag

Leads

David Sontag

Research Areas

Impact Areas

Lead

David Sontag

Research Group

Computational Biology Group

We seek to understand the mechanistic basis of human disease, using a combination of computational and experimental techniques.

Manolis Kellis

Leads

Manolis Kellis

Research Areas

Impact Areas

Lead

Manolis Kellis

Research Group

Computational Cognitive Science Group

We study the computational basis of human learning and inference.

Joshua Tenenbaum

Leads

Joshua Tenenbaum

Research Areas

Impact Areas

Lead

Joshua Tenenbaum

Research Group

Computational Fabrication Group

Our research centers on digital manufacturing, 3D printing and computer graphics, as well as computational photography and displays, and virtual humans and robotics.

Wojciech Matusik

Leads

Wojciech Matusik

Research Areas

Impact Areas

Lead

Wojciech Matusik

Research Group

Computational Genomics Group

We develop new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.

Dave Gifford

Leads

Dave Gifford

Research Areas

Impact Areas

Lead

Dave Gifford

Research Group

Computational Perception & Cognition

We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

Aude Oliva

Leads

Aude Oliva

Research Areas

Impact Areas

Lead

Aude Oliva

Research Group

Computer Graphics Group

Our group focuses on synthetic image generation, computational photography, digital manufacturing, and geometry.

Leads

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Areas

Impact Areas

Lead

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Group

Data-Driven Inference Group

We use machine learning and computer vision to improve outcomes in medicine, finance, and sports

John Guttag

Leads

John Guttag

Research Areas

Impact Areas

Lead

John Guttag

Research Group

Decentralized Information Group

We are investigating decentralized technologies that affect social change.

Lalana Kagal

Tim Berners-Lee

Leads

Lalana Kagal

Tim Berners-Lee

Research Areas

Impact Areas

Lead

Lalana Kagal

Tim Berners-Lee

Lalana Kagal

Tim Berners-Lee

Research Group

Distributed Robotics Laboratory

We aim to develop the science of autonomy toward a future with robots and AI systems integrated into everyday life, supporting people with cognitive and physical tasks.

+15

Daniela Rus

Leads

Daniela Rus

Research Areas

Impact Areas

Lead

Daniela Rus

+15

Daniela Rus

Research Group

Genesis Group

The Genesis Group focuses on developing an account of human intelligence with special
emphasis on developing computational models of how people tell, perceive and understand
stories.

Leads

Research Areas

Impact Areas

Research Group

Haystack Group

We are an interdisciplinary group of researchers blending approaches from human-computer interaction, social computing, databases, information management, and databases.

Lea Verou

David Karger

Leads

David Karger

Research Areas

Impact Areas

Internet of Things

Lead

David Karger

Lea Verou

David Karger

Research Group

HCI Engineering Group

We work at the intersection of human computer interaction and personal fabrication tools.

Stefanie Mueller

Leads

Stefanie Mueller

Research Areas

Impact Areas

Lead

Stefanie Mueller

Research Group

Randall Davis

Fredo Durand

Daniel Jackson

David Karger

Rob Miller

Stefanie Mueller

Research Areas

Lead

Randall Davis

Fredo Durand

Daniel Jackson

David Karger

Rob Miller

Stefanie Mueller

Research Group

Imagination, Computation, and Expression Laboratory (ICE Lab)

We develop computing systems for creative expression, cultural analysis, and social change.

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Lead

D. Fox Harrell

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Research Group

Interactive Robotics Group

The Interactive Robotics Group aims to imagine the future of work by designing collaborative robot teammates that enhance human capability.

Julie Shah

Leads

Julie Shah

Research Areas

Impact Areas

Lead

Julie Shah

Research Group

Infolab

We investigate language in different contexts: from how it is learned, to how it is grounded in visual perception, all the way to how machines can readily interact with humans.

Boris Katz

Leads

Boris Katz

Research Areas

Impact Areas

Lead

Boris Katz

Research Group

Learning and Intelligent Systems

We conduct interdisciplinary research aimed at discovering the principles underlying the design of artificially intelligent robots.

Leslie Kaelbling

Tomas Lozano-Perez

Leads

Leslie Kaelbling

Tomas Lozano-Perez

Research Areas

Impact Areas

Lead

Leslie Kaelbling

Tomas Lozano-Perez

Leslie Kaelbling

Tomas Lozano-Perez

Research Group

Machine Learning

We work on a variety of topics spanning theoretical foundations, algorithms, and applications.

Leads

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Areas

Impact Areas

Lead

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Group

Marine Robotics Group

Our projects are centered around the problems of navigation and mapping for autonomous mobile robots operating in underwater and terrestrial environments.

John Leonard

Leads

John Leonard

Research Areas

Impact Areas

Energy

Lead

John Leonard

Research Group

Medical Vision Group

We develop new algorithms for medical image analysis and visualization of medical imagery.

+10

Polina Golland

Leads

Polina Golland

Research Areas

Impact Areas

Lead

Polina Golland

+10

Polina Golland

298 Project Results matching all criteria

Project

Squadbox: Combating Online Harassment using Friendsourced Moderation

Haystack Group

Fight back against online harassment with a squad of friends.

David Karger

Leads

David Karger

Research Areas

David Karger

Project

Inferring 3D Shape Distributions for Robot Perception and Planning

Robust Robotics Group

Our goal is to develop methods for a mobile robot to reason about volumetric spatial uncertainty of objects in its environment.

Nicholas Roy

Leads

Nicholas Roy

Research Areas

Impact Areas

Nicholas Roy

Project

Synquid: Synthesis From Liquid Types

Type-driven program synthesis

Armando Solar-Lezama

Leads

Armando Solar-Lezama

Research Areas

Armando Solar-Lezama

Project

Deep Inverse Planning

Deep inverse planning for learning from high-dimensional demonstrations

Leads

Research Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Project

Developing the Impacts of Virtual Identity on Computational Learning Environments

Our goal is to develop an understanding of the impacts of virtual identities on users in educational environments.

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Computational Cognitive Science Group

D. Fox Harrell

Project

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning

We use deep reinforcement learning and self-play to train human-level agents for a multiplayer fighting game.

Leads

Project

Wait-learning: Intelligent Systems for Making Productive Use of Wait Time

Usable Programming Group

Wait-learning makes it easier for busy people to learn informally, by automatically detecting when they are waiting and delivering optional learning exercises that can be completed during wait time.

Rob Miller

Leads

Rob Miller

Research Areas

Impact Areas

Rob Miller

Project

Monitoring Fetal Health

Medical Vision Group

We develop algorithms for fetal MRI interpretation, to enable noninvasive fetal monitoring from MRI.

Polina Golland

Leads

Polina Golland

Research Areas

Impact Areas

Vertical AI Community of Research

Polina Golland

Project

Scalable Bayesian Inference via Adaptive Data Summaries

Machine Learning

To obtain scalable Bayesian inference methods, we develop algorithms to create compact “summaries” of large quantities of data. We can then quickly run standard inference algorithms on these summaries without needing to look at the whole dataset.

Tamara Broderick

Leads

Tamara Broderick

Project

3D-Printed Organic Solar Cells

Computational Fabrication Group

Using our inkjet printer system, the goal of this project is to produce a light sensor / solar cell that is composed entirely of 3D printed materials.

James Minor

Leads

James Minor

Research Areas

Impact Areas

James Minor

Project

Learning the Arrow of Time from Videos

We train machines to visually detect the arrow of time, if a video is playing forward or backward, by watching millions of online clips.

Leads

Research Areas

Project

Computational Multicopter Design

Computer Graphics Group

A system that can help you to design our own drone!

Tao Du

Leads

Tao Du

Research Areas

Impact Areas

Energy

Tao Du

Project

Understanding Light via Deep Neural Networks

Our goal is to understand the illumination of an environment. By disentangling the illumination effect from other intrinsic properties (e.g. geometry, texture, color), we can better understand how human perceive the world. It also has several applications such as single image relighting, color editing, etc.

Wei-Chiu Ma

Antonio Torralba

Leads

Wei-Chiu Ma

Antonio Torralba

Research Areas

Wei-Chiu Ma

Antonio Torralba

Project

Multi-Core Data Structures

Multicore Algorithmics

We aim to develop data structures optimized for large-scale multi-core computers.

Nir Shavit

Leads

Nir Shavit

Research Areas

Nir Shavit

Project

Characterizing the Sensitivity of Vision-in-the-Loop Driving Controllers Using CG

Computer Graphics Group

We work on understanding and improving vision algorithms used for self driving cars, by introducing synthetic data-sets to the loop.

Leads

Research Areas

Impact Areas

Center for Brains, Minds and Machines

Project

Orbit Metric Learning: Weak Supervision for Invariant Representations

Visual recognition is affected by changes in visual appearance (pose, scale, rotation) that do not affect a scene’s semantic category. We introduce a method for using sets of traNational Science Foundationorming examples, to learn representations that are robust to these changes.

Leads

Research Areas

Center for Brains, Minds and Machines

Project

Spatio-temporal Convolutional Networks Explain Neural Representations of Human Action

Spatio-temporal convolutional networks are a good model of how visual cortex represents the actions of others, and thinking about robustness to complex transformations, is key to uncovering how human visual cortex is organized.

Leads

Research Areas

Project

3D Generative Adversarial Networks

We study the problem of 3D object generation. We propose a novel framework, 3D Generative Adversarial Network (3D-GAN), leveraging recent advances in volumetric convolutional networks and generative adversarial nets.

Leads

Research Areas

Impact Areas

Parallel and Distributed Operating Systems

Project

FSCQ: File-system verification

FSCQ is the first file system with a machine-checkable proof (in the Coq proof assistant) that its implementation meets its specification and whose specification includes behavior under crashes.

Tej Chajed

Leads

Tej Chajed

Research Areas

Computational Fabrication Group

Tej Chajed

Project

Crowdsourcing in Graphics and Vision

Our goal is to develop new applications and algorithms that leverage the skills of distributed crowdworkers, notably for image and video processing applications.

Alexandre Kaspar

Leads

Alexandre Kaspar

Research Areas

Impact Areas

Alexandre Kaspar

Project

Learning Optimal Interventions

Machine Learning

We develop statistical models that are prescriptive rather than predictive/descriptive. From an observational dataset, our methods learn to automatically identify beneficial actions that will improve outcomes, rather than requiring human-made decisions.

Leads

Project

Peripheral Vision and Driver Behavior

Our goal is to understand what drivers can perceive when they are not attending to the road ahead and the consequences of their perceptions for safety.

Leads

Research Areas

Impact Areas

Networks and Mobile Systems

Project

Neural Adaptive Bitrate Streaming using Reinforcement Learning

Reinforcement Learning and Neural Networks are used for boosting bitrate adaptation performance in video streaming, which outperforms state-of-the-arts algorithms by 13.1% - 25.0%.

Hongzi Mao

Leads

Hongzi Mao

Research Areas

Theory of Distributed Systems Group

Hongzi Mao

Project

Distributed Computation in Ant Colonies

We are interested in applying insights from distributed computing theory to understand how ants and other social insects work together to perform complex tasks such as foraging for food, allocating tasks to workers, and choosing high quality nest sites.

Nancy Lynch

Leads

Nancy Lynch

Research Areas

Internet Policy Research Initiative

Nancy Lynch

1247 People Results matching all criteria

Zachary Abel

Temporary Lecturer

E zabel@mit.edu

PI
Core/Dual

Hal Abelson

Professor

Programming, privacy, App Inventor

E hal@mit.edu

T 253-5856

Lead

MIT App Inventor

Member

Computing & Society Community of Research

Programming, privacy, App Inventor

Maleen Abeydeera

Graduate Student

E maleen@csail.mit.edu

Member

Pervasive Parallelism with the Swarm Architecture

Madeline Abrahams

Super UROP

E maddyabr@MIT.EDU

Murad Abu-Khalaf

Program Manager, Toyota-CSAIL Joint Research Center

E murad@mit.edu

T 452-2859

Mazdak Abulnaga

Graduate Student

medical vision

E abulnaga@mit.edu

Member

Monitoring Fetal Health

Medical Vision Group

Geometric Data Processing Group

Geometry and topology for scientific computing and shape analysis

medical vision

Sara Achour

Graduate Student

E sachour@mit.edu

Kenneth Acquah

Super UROP

E kkacquah@mit.edu

Ravichandra Addanki

Graduate Student

E addanki@mit.edu

Julius Adebayo

Graduate Student

E juliusad@MIT.EDU

RM 32-G528B

PI
Core/Dual

Ted Adelson

Professor

Vision, touch sensing, robotics

E adelson@csail.mit.edu

T 253-0645

Lead

Embodied Intelligence Community of Research

Blood Pressure Imager

Member

Visual Computing Community of Research

Vision, touch sensing, robotics

Aviv Adler

Graduate Student

E adlera@mit.edu

Iman Aganj

Research Affiliate

E iman@csail.mit.edu

Anant Agarwal

Professor

Systems, architecture, online learning, edX

E agarwal@edx.org

T 253-1448

Systems, architecture, online learning, edX

Raj Agrawal

Graduate Student

E rajisme@mit.edu

Monica Agrawal

Graduate Student

E magrawal@mit.edu

PI
Core/Dual

Pulkit Agrawal

Assistant Professor

Reinforcement Learning, Computer Vision, Learning for Control

E PULKITAG@CSAIL.MIT.EDU

RM 32-386D

Member

Embodied Intelligence Community of Research

Reinforcement Learning, Computer Vision, Learning for Control

Leandro Agudelo

Research Scientist

Computational Biology, Integrative Systems Biology

E lagudelo@csail.mit.edu

Computational Biology, Integrative Systems Biology

Peter Ahrens

Graduate Student

E pahrens@mit.edu

Amanda Ahteck

UROP

E asahteck@mit.edu

Marc Aidinoff

Temporary Graduate Student

E Aidinoff@mit.edu

RM 32-G528A

Anurag Ajay

Graduate Student

E aajay@mit.edu

Member

Learning and Intelligent Systems

Hugo Akitaya

Research Affiliate

Shyan Akmal

Graduate Student

E naysh@mit.edu

RM 32-G585B

1557 News Results matching all criteria

June 09 '20

Hot Topics in Computing: A Multi-Risk SIR Model with Optimally Targeted Lockdown

On June 9, 2020 Prof Daron Acemoglu presented a talk in the Hot Topics in Computing series entitled: A Multi-Risk SIR Model with Optimally Targeted Lockdown

Hot Topics in Computing: A Multi-Risk SIR Model with Optimally Targeted Lockdown

June 04 '20

Science paper: if transistors can’t get smaller, then software developers have to get smarter

MIT CSAIL study: to continue to improve computing technology, the secret is more efficient software, new algorithms, and streamlined hardware

Science paper: if transistors can’t get smaller, then software developers have to get smarter

Algorithms & Theory Robotics

June 02 '20

New glove lets you incorporate real-life objects into virtual worlds

Algorithms & Theory Robotics Manufacturing

June 01 '20

Giving soft robots senses

In a pair of papers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), two teams enable better sense and perception for soft robotic grippers.

Giving soft robots senses

May 19 '20

Hot Topics in Computing: contact tracing activities at MIT

On Tuesday, May 19 a panel discussion among Prof.'s Ron Rivest, Ramesh Raskar, Julie Shah and Daniel Weitzner was held on the topic of contact tracing at MIT, moderated by Daniela Rus.

Hot Topics in Computing: contact tracing activities at MIT

May 18 '20

Searching websites the way you want

New tool lets non-coders use APIs to navigate sites like Etsy and Yelp

Searching websites the way you want

May 14 '20

Working towards smarter automation for fixing code

Yogo makes it much easier to make systematic changes in code - and can do so in multiple programming languages.

Working towards smarter automation for fixing code

Brad Smith, president of Microsoft Corporation

May 14 '20

Hot Topics in Computing: Conversation with Microsoft President Brad Smith

On May 14, 2020 Daniela Rus and Daniel Huttenlocher hosted a fireside chat with Brad Smith, President of Microsoft Corporation.

Hot Topics in Computing: Conversation with Microsoft President Brad Smith

Computing & Health Health Care

May 13 '20

What can your dishwasher tell you about your health?

CSAIL system uses wireless signals to measure in-home appliance usage to better understand health tendencies.

What can your dishwasher tell you about your health?

Algorithms & Theory Programming Languages & Software Engineering

May 06 '20

Visualizing the world beyond the frame

Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.

Visualizing the world beyond the frame

May 05 '20

Hot Topics in Computing: Targeted Risk Analytics to Fight the COVID-19 Outbreak

On May 5, 2020, Prof. Retsef Levi gave a Hot Topics in Computing presentation entitled 'Targeted Risk Analytics to Fight the COVID-19 Outbreak'.

Hot Topics in Computing: Targeted Risk Analytics to Fight the COVID-19 Outbreak

April 30 '20

VIDEO: The status of artificial adversarial intelligence

Algorithms & Theory

April 28 '20

Automating the search for entirely new “curiosity” algorithms

Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.

Automating the search for entirely new “curiosity” algorithms

April 28 '20

Bonnie Berger elected to NAS

MIT professor Bonnie Berger has been elected to the National Academy of Sciences.

Bonnie Berger elected to NAS

Robotics Health Care Manufacturing

April 27 '20

Muscle signals can pilot a robot

CSAIL system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication

Muscle signals can pilot a robot

Health Care

April 26 '20

Reporting tool aims to balance hospitals’ Covid-19 load

Based on crowdsourced data, app helps patients, EMTs, and physicians determine real-time availability of hospital resources.

Reporting tool aims to balance hospitals’ Covid-19 load

April 23 '20

Two CSAIL researchers elected to AAAS

This week the American Academy of Arts and Sciences (AAAS) announced that MIT professors Ronitt Rubinfeld and Joshua Tenenbaum were among their new 2020 members.

Two CSAIL researchers elected to AAAS

Human-Computer Interaction

April 20 '20

Satyanarayan selected for NSF career award

This week it was announced that MIT assistant professor Arvind Satyanarayan has been awarded the distinguished NSF career award for his project “Effective Interaction Design for Data Visualization.”

Satyanarayan selected for NSF career award

April 17 '20

A weekly roundup of COVID-Computer science efforts

It can be hard to keep track of all the numbers, statistics, and charts swirling around the internet -- we’re inundated with information that can be rapidly disseminated and dissected. To carve through some of the sludge, here’s a selected highlight of recent computer science related efforts to fight COVID-19.

A weekly roundup of COVID-Computer science efforts

Human-Computer Interaction Energy Manufacturing

April 17 '20

Mueller named 2020 Microsoft Research Faculty Fellow

Health Care

April 15 '20

MIT-based team works on rapid deployment of open-source, low-cost ventilator

Clinical and design considerations will be published online; goal is to support rapid scale-up of device production to alleviate hospital shortages.

MIT-based team works on rapid deployment of open-source, low-cost ventilator

Algorithms & Theory Computing & Health Health Care Wireless

April 14 '20

CSAIL device lets doctors monitor COVID-19 patients from a distance

Wireless system helps Boston retirement home care for COVID patients while reducing risk of contagion

CSAIL device lets doctors monitor COVID-19 patients from a distance

April 14 '20

Hot Topics in Computing: Using Computing to Address the Social Impacts of COVID19

On April 14, 2020, Prof. Julie Shah presented a Hot Topics in Computing virtual seminar entitled: Using Computing to Address the Social Impacts of COVID19.

Hot Topics in Computing: Using Computing to Address the Social Impacts of COVID19

Computing & Health Security & Cryptography Systems & Networking Health Care

April 09 '20

Automated Covid-19 contact tracing - while preserving privacy

New system uses Bluetooth signals from your smartphone, with the goal of automating Covid-19 contact tracing while preserving privacy

Automated Covid-19 contact tracing - while preserving privacy

78 Group Results

Research Group

Advanced Network Architecture Group

The challenge that motivates the ANA group is to foster a healthy future for the Internet. The interplay of private sector investment, public sector regulation and public interest advocacy, as well as the global diversity in drivers and aspirations, makes for an uncertain future.

David Clark

Karen Sollins

Leads

David Clark

Karen Sollins

Research Areas

Impact Areas

Lead

David Clark

Karen Sollins

David Clark

Karen Sollins

Research Group

Algorithms Group

We devise new mathematical tools to tackle the increasing difficulty and importance of problems we pose to computers.

Leads

Costis Daskalakis

Erik Demaine

Michael Goemans

Piotr Indyk

David Karger

Jonathan Kelner

Tom Leighton

Charles E. Leiserson

Aleksander Madry

Ankur Moitra

Ronitt Rubinfeld

Nir Shavit

Ryan Williams

Virginia Vassilevska Williams

Research Areas

Impact Areas

Lead

Costis Daskalakis

Erik Demaine

Michael Goemans

Piotr Indyk

David Karger

Jonathan Kelner

Tom Leighton

Charles E. Leiserson

Aleksander Madry

Ankur Moitra

Ronitt Rubinfeld

Nir Shavit

Ryan Williams

Virginia Vassilevska Williams

Research Group

Anyscale Learning for All ALFA

Our vision is data-driven machine learning systems that advance the quality of healthcare, the understanding of cyber arms races and the delivery of online education.

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Impact Areas

Lead

Una-May O'Reilly

Research Group

Applied Computing Group

We design software for high performance computing, develop algorithms for numerical linear algebra, and research random matrix theory and its applications.

Alan Edelman

Leads

Alan Edelman

Research Areas

Impact Areas

Lead

Alan Edelman

Community of Research

Applied Machine Learning Community of Research

This CoR brings together researchers at CSAIL working across a broad swath of application domains. Within these lie novel and challenging machine learning problems serving science, social science and computer science.

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Impact Areas

Lead

Una-May O'Reilly

Research Group

Broderick Lab

We work in the areas of statistics and machine learning.

Tamara Broderick

Leads

Tamara Broderick

Research Areas

Impact Areas

Lead

Tamara Broderick

Research Group

Center for Brains, Minds and Machines

Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

Impact Areas

Lead

Tomaso Poggio

Research Center

Center for Deployable Machine Learning (CDML)

The MIT Center for Deployable Machine Learning (CDML) works towards creating AI systems that are robust, reliable and safe for real-world deployment.

Aleksander Madry

Leads

Aleksander Madry

Research Areas

Impact Areas

Lead

Aleksander Madry

Research Group

Clinical Decision-Making Group

We focus on furthering the application of technology and artificial intelligence in medicine and health-care.

+10

Peter Szolovits

Leads

Peter Szolovits

Research Areas

Impact Areas

Lead

Peter Szolovits

+10

Peter Szolovits

Research Group

Clinical Machine Learning Group

Our group is interested in using machine learning and artificial intelligence to transform health care.

David Sontag

Leads

David Sontag

Research Areas

Impact Areas

Lead

David Sontag

Community of Research

Cognitive AI Community of Research

This CoR aims to develop AI technology that synthesizes symbolic reasoning, probabilistic reasoning for dealing with uncertainty in the world, and statistical methods for extracting and exploiting regularities in the world, into an integrated picture of intelligence that is informed by computational insights and by cognitive science.

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Impact Areas

Lead

Howard Shrobe

Research Group

Commit Group

We focus on finding novel approaches to improve the performance of modern computer systems without unduly increasing the complexity faced by application developers, compiler writers, or computer architects.

Saman Amarasinghe

Leads

Saman Amarasinghe

Research Areas

Computer Architecture

Impact Areas

Lead

Saman Amarasinghe

Research Group

Complexity Theory Group

Our interests span quantum complexity theory, barriers to solving P versus NP, theoretical computer science with a focus on probabilistically checkable proofs (PCP), pseudo-randomness, coding theory, and algorithms.

Leads

Shafi Goldwasser

Ronitt Rubinfeld

Michael Sipser

Ryan Williams

Virginia Vassilevska Williams

Research Areas

Impact Areas

Lead

Shafi Goldwasser

Ronitt Rubinfeld

Michael Sipser

Ryan Williams

Virginia Vassilevska Williams

Research Group

Computation and Biology

Our lab focuses on designing algorithms to gain biological insights from advances in automated data collection and the subsequent large data sets drawn from them.

Bonnie Berger

Leads

Bonnie Berger

Research Areas

Impact Areas

Lead

Bonnie Berger

Research Group

Computation Structures Group

Our mission is fostering the creation and development of high-performance, reliable and secure computing systems that are easy to interact with.

+23

Leads

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

Research Areas

Computer Architecture

Impact Areas

Lead

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

+23

Research Group

Computational Biology Group

We seek to understand the mechanistic basis of human disease, using a combination of computational and experimental techniques.

Manolis Kellis

Leads

Manolis Kellis

Research Areas

Impact Areas

Lead

Manolis Kellis

Research Group

Computational Cognitive Science Group

We study the computational basis of human learning and inference.

Joshua Tenenbaum

Leads

Joshua Tenenbaum

Research Areas

Impact Areas

Lead

Joshua Tenenbaum

Research Group

Computational Connectomics Group

Our group’s goal is to create, based on such microscopic connectivity and functional data, new mathematical models explaining how neural tissue computes.

Nir Shavit

Leads

Nir Shavit

Research Areas

Impact Areas

Lead

Nir Shavit

Research Group

Computational Fabrication Group

Our research centers on digital manufacturing, 3D printing and computer graphics, as well as computational photography and displays, and virtual humans and robotics.

Wojciech Matusik

Leads

Wojciech Matusik

Research Areas

Impact Areas

Lead

Wojciech Matusik

Research Group

Computational Genomics Group

We develop new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.

Dave Gifford

Leads

Dave Gifford

Research Areas

Impact Areas

Lead

Dave Gifford

Research Group

Computational Perception & Cognition

We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

Aude Oliva

Leads

Aude Oliva

Research Areas

Impact Areas

Lead

Aude Oliva

Research Group

Computer Graphics Group

Our group focuses on synthetic image generation, computational photography, digital manufacturing, and geometry.

Leads

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Areas

Impact Areas

Lead

Fredo Durand

William Freeman

Wojciech Matusik

Justin Solomon

Research Group

Computer-Aided Programming

We develop techniques and tools that exploit automated reasoning and large amounts of computing power to tackle challenging programming problems

Armando Solar-Lezama

Leads

Armando Solar-Lezama

Research Areas

Impact Areas

Lead

Armando Solar-Lezama

Community of Research

Computing & Society Community of Research

This community is interested in understanding and affecting the interaction between computing systems and society through engineering, computer science and public policy research, education, and public engagement.

Daniel Weitzner

Leads

Daniel Weitzner

Research Areas

Weiss Laboratory for Synthetic Biology

Impact Areas

Lead

Daniel Weitzner

298 Project Results

Project

Artificial tissue homeostasis

In order to be able to design synthetic organs that function autonomously, we will need to engineer artificial tissue homeostasis. To control the size of these artificial tissues, two major mechanisms will have to be engineered.

Leads

Research Areas

Impact Areas

Natural Language Processing Group

Project

Aspect-Augmented Adversarial Networks for Domain Adaptation

Vertical AI Community of Research

We propose a novel aspect-augmented adversarial network for cross-aspect and cross-domain adaptation tasks. The effectiveness of our approach suggests the potential application of adversarial networks to a broader range of NLP tasks for improved representation learning, such as machine translation and language generation.

Regina Barzilay

Tommi Jaakkola

Leads

Regina Barzilay

Tommi Jaakkola

Research Areas

Regina Barzilay

Tommi Jaakkola

Project

Aurum: Large Scale Data Discovery

Aurum is a data discovery system that works at large scale, helping people find relevant data.

Sam Madden

Michael Stonebraker

Leads

Sam Madden

Michael Stonebraker

Research Areas

Impact Areas

Model-Based Embedded and Robotics Systems Group

Sam Madden

Michael Stonebraker

Project

Automated Attack Tree Generation for Critical Infrastructure

Using AI methods, we are developing an attack tree generator that automatically enumerates cyberattack vectors for industrial control systems in critical infrastructure (electric grids, water networks and transportation systems). The generator can quickly assess cyber risk for a system at scale.

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Impact Areas

Spoken Language Systems Group

Howard Shrobe

Project

Automatic Speech Recognition

Automatic speech recognition (ASR) has been a grand challenge machine learning problem for decades. Our ongoing research in this area examines the use of deep learning models for distant and noisy recording conditions, multilingual, and low-resource scenarios.

Leads

Hao Tang

Wei-Ning Hsu

David Harwath

Sameer Khurana

Di-Chia Chueh

Jim Glass

Research Areas

Impact Areas

Project

Autonomous Vehicle Databases

The impending success of AV technology will create vehicles that collect sensor data at a high rate.

Michael Stonebraker

Sam Madden

Leads

Michael Stonebraker

Sam Madden

Research Areas

Impact Areas

Clinical Decision-Making Group

Michael Stonebraker

Sam Madden

Project

AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus

Applied Machine Learning Community of Research

Adding domain knowledge to word embeddings.

Peter Szolovits

Leads

Peter Szolovits

Research Areas

Impact Areas

Cryptography and Information Security Group

Peter Szolovits

Project

Basing Cryptography on Structured Hardness

We aim to base a variety of cryptographic primitives on complexity theoretic assumptions. We focus on the assumption that there exist highly structured problems --- admitting so called "zero-knowledge" protocols --- that are nevertheless hard to compute

Leads

Research Areas

Learning and Intelligent Systems

Project

Bayesian Optimization for Global Optimization of Expensive Black-box Functions

Machine Learning

We study the fundamentals of Bayesian optimization and develop efficient Bayesian optimization methods for global optimization of expensive black-box functions originated from a range of different applications.

Zi Wang

Leads

Zi Wang

Research Areas

Impact Areas

Computational Cognitive Science Group

Zi Wang

Project

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning

Computer-Aided Programming

We use deep reinforcement learning and self-play to train human-level agents for a multiplayer fighting game.

Leads

Project

Bellmania

Supertech Research Group

Deductive synthesis for large-scale implementations of dynamic programming algorithms

Leads

Research Areas

Distributed Robotics Laboratory

Project

Better Models for Ride-Sharing

Traffic is not just a nuisance for drivers: It’s also a public health hazard and bad news for the economy.

Leads

Research Areas

Impact Areas

Energy

Project

Blood Pressure Imager

Development of affordable wearable continuous blood pressure monitor based on radial arterial pulse imaged from the skin surface of human wrist

Mumin Jin

Aya G. Halawi

Jianhua Li

Leads

Abhijit Biswas

Ted Adelson

Mandayam A. Srinivasan

Mohan Thanikachalam

Research Areas

Computation Structures Group

Mumin Jin

Aya G. Halawi

Jianhua Li

Project

BlueDBM: Distributed Flash Storage for Big Data Analytics

BlueDBM is an architecture of computer clusters consisting of fast distributed flash storage and in-storage accelerators, which often outperforms larger and more expensive clusters in applications such as graph analytics.

Leads

Research Areas

Computer Architecture

Impact Areas

Distributed Robotics Laboratory

Project

Brain-Controlled Robots

This project aims to let people correct robot mistakes with nothing more than their brain signals - to allow robots to adapt to humans rather than the other way around

Frank H. Guenther

Daniela Rus

Joseph DelPreto

Leads

Daniela Rus

Joseph DelPreto

Research Areas

Frank H. Guenther

Daniela Rus

Joseph DelPreto

Project

Bridging Theory and Practice in Shared-Memory Parallel Algorithm Design

This project aims to design parallel algorithms for shared-memory machines that are efficient both in theory and also in practice.

Julian Shun

Leads

Julian Shun

Research Areas

Impact Areas

Julian Shun

Project

Building a Scalable Database for Autonomous Vehicles

We are building a database for autonomous vehicle sensor data that addresses the challenges presented by the potential scale of autonomous vehicle data and the unique characteristics of the data.

Leads

Michael Stonebraker

Sam Madden

Oscar Ricardo Moll Thomae

Research Areas

Decentralized Information Group

Project

The Car Can Explain!

Computing & Society Community of Research

Developing techniques to allow self-driving cars and other AI-driven systems to explain behaviors and failures.

Leads

Gerald Sussman

Lalana Kagal

Leilani Gilpin

Research Areas

Impact Areas

Project

Cardiac MRI analysis

Medical Vision Group

We develop image analysis algorithms for whole-heart cardiac MRI in patients with severe congenital heart disease.

Polina Golland

Leads

Polina Golland

Research Areas

Impact Areas

Polina Golland

Project

Chameleon: Using Machine Learning to Make Databases Faster!

Our goal is to build a database framework in which the database predicts user queries and builds indexes in advance to allow future queries to run faster.

Leads

Albert Kim

Sam Madden

Aditya Parameswaran

Research Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Project

Changing Minds via Roleplay in Interactive Digital Media

We aim to study the impact of computer-supported roleplaying in changing social perspectives of digital media users. Such media could take the form of videogames, VR systems, training software, and other types of interactive narrative technology.

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

D. Fox Harrell

Project

Characterizing the Sensitivity of Vision-in-the-Loop Driving Controllers Using CG

Computer Graphics Group

We work on understanding and improving vision algorithms used for self driving cars, by introducing synthetic data-sets to the loop.

Leads

Research Areas

Impact Areas

Project

CilkPride

Usable Programming Group

CilkPride is a programming environment that aims to make performance and safety information always available and appropriately visible to the programmer.

Charles E. Leiserson

Rob Miller

Leads

Charles E. Leiserson

Rob Miller

Research Areas

Charles E. Leiserson

Rob Miller

Project

CliNER: Clinical Concept Extraction