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Susan Murphy is the Mallinckrodt Professor at the Harvard John Paulson School of Engineering and Applied Sciences, where she specializes in statistics and computer science. Her primary teaching area is computer science, and she also serves as an associate faculty member at the Kempner Institute. In her research, she focuses on statistical reinforcement learning and its applications across various domains. With a strong background in applied mathematics and artificial intelligence, she has contributed significantly to the fields of computational data science and statistical learning. Her lab, the Statistical Reinforcement Learning Lab, is dedicated to innovating methodologies that advance the understanding and application of these fields.
The program covers Molecular Mechanism & Structural Biology, Systems, Quantitative & Computational Biology, Neurobiology & Behavior, and Development, Genetics & Evolution. GRE not accepted.