Our People

Marlene Berke’s research extends the computational framework for Theory of Mind models (how people attribute hidden mental states to other people, like what someone else wants or knows) to include subjective experience, using pain attribution and communication about pain as a case-study with clinical importance.

Co-Director, K. Lisa Yang Center for Bionics

Faculty, K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics in Neuroscience

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Y. Eva Tan Professor in Neurotechnology at MIT

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience

Naomi Chaix-Eichel investigates the neural computations underlying locomotion by developing a unified neuromechanical simulation that generates biologically plausible walking. This collaboration also aims to link neural circuits to behavior in human locomotion, with applications to model-based control of bionic limbs.

Andrea De Varda will use multilingual neural network language models to investigate the brain correlates of language comprehension across different languages.

Mohammad is studying how the brain regulates and controls breathing and how breathing, in turn, influences decision-making and behavior.

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Associate Professor of Brain and Cognitive Sciences at MIT

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Glen V. and Phyllis F. Dorflinger Professor of Neuroscience at MIT

Head of Department of Brain and Cognitive Sciences at MIT

Director of the Hock E. Tan and K. Lisa Yang Center for Autism Research

Faculty, K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics in Neuroscience

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

James W. (1963) and Patricia T. Poitras Professor, Brain and Cognitive Sciences

Michael is developing a pipeline that surgically creates neural interfaces during below-elbow amputation to preserve proprioceptive and cutaneous afferents, leveraging these circuits in intuitive motor intention decoders to enhance functional prosthesis control.

Lakshmi Govindarajan’s research draws from modern statistical tools to provide computational accounts of the interface between perceptual and cognitive processes in biological systems.

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Associate Professor and Graduate Officer, Brain and Cognitive Sciences

Co-Director, K. Lisa Yang Center for Bionics

Faculty, K. Lisa Yang Global Engineering and Research (GEAR) Center

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Professor of Media Arts and Sciences at MIT

Faculty, K. Lisa Yang Brain-Body Center

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Eugene McDermott Professor in the Brain Sciences & Human Behavior

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Professor and Director of Education, Brain and Cognitive Sciences, MIT

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Professor, Department of Brain and Cognitive Sciences MIT

Qianli Liao aims to bridge the gap between artificial and biological neural networks. He studies how to implement deep learning in the brain and how biological neural systems can effectively train their neural networks at circuit and synaptic levels.

Yuanming Liu uses electron microscopy and computational approaches to map the neuronal circuits underlying inspiratory rhythm generation at synaptic resolution. He also combines in vivo imaging with spatial transcriptomics to identify the molecular and cellular basis of vocalization and vocal-respiratory coordination in the brain.

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Associate Department Head and Professor of Brain and Cognitive Sciences at MIT

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Dan Mitropolsky is developing a theoretical computer science approach to understanding the brain: defining and studying minimalistic models based off the simplest assumptions from neuroscience, and in particular thinking about what are the necessary assumptions to make language and learning possible.

Vatsal Patel is working to close the immense gap between human hand dexterity and artificial systems. His research will capture rich multimodal signals in natural in-hand manipulation to build predictive neural models and test them directly on prosthetic and robotic hands.

Faculty, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Eugene McDermott Professor, Brain and Cognitive Sciences