Yu Duan
Graduate Student in Rajan Lab
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About
Yu Duan joined MIT EECS as a PhD student in 2023. He is currently working with Prof. Kanaka Rajan on applying machine learning tools to model the brain. Before graduate school, Duan studied computer science at Institute for Interdisciplinary Information Sciences, Tsinghua University. He was also a visiting student at Brain and Cognitive Sciences, MIT.
Research Focus
Duan is broadly interested in using machine learning tools to advance brain sciences. Several directions that he feels excited about include: (1) Building data-driven models that unify neural dynamics, perception, and behavior; (2) Developing or applying novel machine learning tools to help analyze experimental data; (3) Explaining experimental findings in a goal-driven manner, where the goal could be modeled as loss function/reward in the supervised learning/RL framework.