معرفی
Gautam Reddy is an Assistant Professor of Physics at Princeton University, leading the Reddy Lab. He holds a B.Tech in Engineering Physics from the Indian Institute of Technology, Bombay, and a Ph.D. in Physics from UC San Diego. His research bridges physics, biology, and machine learning to study information processing in natural and artificial systems. He previously served as an NSF-Simons Fellow at Harvard and a research scientist at NTT Research's Physics and Informatics Labs.
His work investigates how biological and artificial systems learn and solve goal-oriented tasks through the lens of physics-inspired theory. Key areas include high-dimensional learning, evolutionary epistasis, olfactory processing, and reinforcement learning. The Reddy Lab collaborates with experimental biologists and machine learning researchers to develop phenomenological models and test theoretical frameworks using computational tools.
Current projects explore in-context learning in transformers, modular structure in genotype-phenotype maps, and the interplay between decision-making and information theory in biological systems. He advises two graduate students (Tsai-Chun Pan and Ravin Ramaraj) and maintains active collaborations across disciplines.
