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Aditi Jha
Wu Tsai Neurosciences Institute
Interdisciplinary Postdoctoral Scholar
Department of Statistics
PhD, Electrical and Computer Engineering, Princeton
BS, Electrical Engineering, Indian Institute of Technology, Delhi
Affiliation:
Aditi Jha is a computational neuroscientist interested in developing statistical approaches to analyze neural and behavioral data. As a postdoctoral fellow at Stanford, she is developing reinforcement learning-based models to study natural behavior, and to investigate the associated neural correlates. Aditi received a BS in Electrical Engineering from the Indian Institute of Technology, Delhi. She then obtained her PhD in Electrical and Computer Engineering from Princeton, where she was advised by Jonathan Pillow and supported by a Google PhD fellowship. Her thesis focused on data-driven models of neural dynamics and behavior.
Link to lab: https://web.stanford.edu/~swl1/