Profesor Shipra Agrawal is an Assistant Professor in the Department of Industrial Engineering and Operations Research. Her research spans several areas of optimization and machine learning, including data-driven optimization under partial, uncertain, and online inputs, and related concepts in learning, namely multi-armed bandits, online learning, and reinforcement learning. She is also interested in prediction markets and game theory. Application areas of her interests include, but are not limited to, internet advertising, recommendation systems, revenue management and resource allocation problems.
Professor Agrawal received her PhD in Computer Science from Stanford University in June 2011 and was at Microsoft Research India from July 2011 to August 2015.