Gautam Reddy is assistant professor of physics at Princeton University. He studied at the Indian Institute of Technology, Bombay, India, earning a degree in engineering physics. He received his Ph.D. in physics from the University of California, San Diego, and then served as an NSF-Simons Fellow at Harvard and as a research scientist at NTT Research's Physics and Informatics Labs. Drawing upon a diverse set of problems in neuroscience, evolution and machine learning, his research is focused on understanding how living and artificial systems process high-dimensional information to solve goal-oriented tasks. He runs the Reddy lab which develops novel physics-inspired theory and tools to build phenomenological models of learning and decision-making in collaboration with experimental biologists, and uses machine learning models as ‘experimental systems' to motivate new theory.