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Chris Lynn joined Yale as an Assistant Professor in the Department of Physics and is a member of the Quantitative Biology Institute and Wu Tsai Institute. He holds undergraduate degrees in Physics and Mathematics from Swarthmore College, obtained in 2014, and earned his Ph.D. in 2020 from the University of Pennsylvania. His research focuses on the application of statistical physics to understand complex living systems, particularly emphasizing the structure and function of brain networks. Lynn's work has involved utilizing network science and information theory to study human information processing through cognitive experiments. He completed a postdoctoral fellowship as a James S. McDonnell Foundation Fellow at Princeton, collaborating with prominent researchers including William Bialek, Stephanie Palmer, and David Schwab to investigate the emergence and irreversibility of complex structures in neural systems. His current research projects include examining statistically grounded brain network structures and how individual neurons interact to form networks that orchestrate cognition and communication. Through his research, Lynn aims to identify minimal key components that create collective macroscopic phenomena in living systems.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.