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Reddy Lab is a group of physicists focused on understanding how both living and artificial systems learn and solve goal-oriented tasks. The lab's research encompasses a diverse array of problems, including aspects of animal behavior and neuroscience, as well as the application of machine learning. The team develops novel physics-inspired theoretical tools to build phenomenological models that enhance decision-making processes. Additionally, Reddy Lab collaborates closely with experimental biologists to utilize machine learning in guiding the development of new theories. The lab's research philosophy is grounded in physics, utilizing data-driven theories to explain quantitative phenomena in complex systems. There is a passionate commitment to training a new generation of diverse scientists, fostering a strong theoretical foundation in physics while simultaneously appreciating biological complexities. This equips researchers to effectively pose and address impactful biological questions.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.