Nidhi is an assistant professor at MIT and the inaugural member of our group. She builds computational predictive models of human movement with applications to autonomous and robot-aided neuromotor rehabilitation. In her work, she uses a combination of tools and approaches from nonlinear dynamics, control theory, and machine learning.

Nidhi obtained her PhD in the Movement Lab at Ohio State University where she developed predictive models of naturalistic human locomotion as a Schlumberger Foundation Faculty for the Future Fellow. She then worked as a postdoctoral researcher in the Kording Lab at University of Pennsylvania, developing data-driven tools for autonomous neuromotor rehabilitation, in collaboration with the Rehabilitation Robotics Lab.

Outside of research, Nidhi enjoys karaoke, learning new languages, and reading fiction.

Antoine is a K. Lisa Yang ICoN postdoctoral fellow in the group working on comparative models of naturalistic motor control across species. Broadly, he is interested in combining computational and experimental approaches to understand the neural control of movements.

Antoine obtained his PhD from UCLouvain, Belgium in 2022 where he investigated the policies underlying human reaching movements with experiments and modeling. He has expertise in human motor control and decision making, optimal control, and reinforcement learning.

Outside of research, Antoine enjoys reading sci-fi novels, playing board games and solving mathematical puzzles.

Eric is an PhD student in our group enrolled in the EECS program. He is working with us on building data-driven models to understand human movement. He obtained his bachelor’s degree from UIUC in computer science and economics. His prior research focuses on statistical inference and neural networks, and he aims to translate his theoretical background to solve real-world problems.

Outside of research, he enjoys watching memes and swimming.