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Mohsen Bayati is the Carl Marilynn Thoma Professor and R. Michael Mary Shanahan Faculty Fellow at Stanford University's Graduate School of Business. He holds courtesy appointments in the Departments of Electrical Engineering and Radiation Oncology. His research focuses on the application of artificial intelligence in healthcare, particularly through data-driven learning and decision models aimed at enhancing healthcare outcomes. Bayati is focused on ensuring that AI systems align with societal objectives and develop robust graphical models that utilize message-passing algorithms. In addition, he investigates mathematical modeling in decision-making processes, striving to create algorithms that provide personalized learning and decision-making support. He serves as an associate editor for the journal Management Science, engaging in the intersections of data science, healthcare management, and stochastic systems. Bayati has taught multiple courses at Stanford, including Business Intelligence and Data Learning Decision-Making, reflecting his comprehensive expertise in applying data science to real-world challenges.
Stanford University Graduate School of Business • Stanford, CA
Professor specializing in AI applications and data-driven decision-making in healthcare.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.