معرفی
Shipra Agrawal serves as an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University, with additional affiliations in the Department of Computer Science and the Data Science Institute.
She earned her PhD in Computer Science from Stanford University and previously worked as a researcher at Microsoft Research India.
Her research bridges Operations Research and Machine Learning, focusing on data-driven decision processes, reinforcement learning, and algorithmic solutions under uncertainty. She has organized Columbia University programs including Data-Driven Decision Processes (Fall 2022), Theory of Reinforcement Learning (Fall 2020), and Algorithms and Uncertainty (Fall 2016).
Her scientific recognition includes:
- Google Faculty Research Award
- Amazon Research Award
- NSF CAREER Award
Dr. Agrawal serves as associate editor for Management Science, Mathematics of Operations Research, INFORMS Journal on Optimization, and Journal of Machine Learning Research (JMLR), demonstrating active leadership in academic publishing.
