Brief Bio
Mohsen Bayati is the Carl and Marilynn Thoma Professor of Operations, Information and Technology at the Stanford Graduate School of Business, and an Amazon Scholar. His research focuses on data-driven decision-making and experiment design, particularly as they intersect with healthcare and e-commerce. He utilizes tools from contextual multi-armed bandits, graphical models, message-passing algorithms, and high-dimensional statistics. Mohsen received a BS in Mathematics from Sharif University of Technology and a PhD in Electrical Engineering from Stanford University. He then worked as a postdoctoral researcher at Microsoft Research and Stanford University. His work was awarded the INFORMS Healthcare Applications Society's Best Paper (Pierskalla) Award in 2014 and 2016, the INFORMS Applied Probability Society's Best Paper Award in 2015, and the National Science Foundation CAREER Award.
