Shipra Agrawal

Assistant Professor
Industrial Engineering and Operations Research
Data Science Institute
Columbia University
Office: Mudd 423 (DSI space)
Fall 2018 office hours: Wed 1pm-2pm

Brief Bio

Shipra Agrawal is an Assistant Professor in the Department of Industrial Engineering and Operations Research, and Data Science Institute, at Columbia University. She received her PhD in Computer Science from Stanford University in June 2011 under the guidance of Prof. Yinyu Ye, and was a researcher at Microsoft Research India from July 2011 to August 2015. Her research spans several areas of optimization and machine learning, including online optimization under uncertainty, multi-armed bandits, online learning, and reinforcement learning. She is also interested in prediction markets and game theory. Application areas of her interests include internet advertising, recommendation systems, revenue management, and resource allocation. Shipra serves as an associate editor for Management Science (Optimization area) and Mathematics of Operations Research (Learning theory area) journals. Her research is supported by a Google Faculty research award (2017), Amazon research award (2017), and an NSF CAREER Award. For further information, please see CV .


Grants and awards

Some recent professional activities


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