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Susan Murphy is the Mallinckrodt Professor at Harvard John Paulson School of Engineering and Applied Sciences, where she focuses on statistical methodologies, particularly in the realm of reinforcement learning and computational data science. With a strong foundation in applied mathematics and statistics, she applies her expertise to address complex problems in various domains, aiding decision-making processes through data-driven insights. Dr. Murphy's research emphasizes the development of frameworks and tools that integrate statistical theory with practical applications, striving for enhancements in personalized intervention strategies and adaptive learning systems. She has been an influential figure in the advancement of statistical methodologies in computer science, contributing significantly to the field through her teachings and publications.
The program covers Molecular Mechanism & Structural Biology, Systems, Quantitative & Computational Biology, Neurobiology & Behavior, and Development, Genetics & Evolution. GRE not accepted.