Bio: Dr. Swati Gupta is currently an Assistant Professor in the H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech.  She received the Simons-Berkeley Research Fellowship for the Bridging Continuous and Discrete Optimization and Real-Time Decision Making programs at the Simons Institute for the Theory of Computing in the academic year 2017-18. Prior to this, she received her Ph.D. in Operations Research from Massachusetts Institute of Technology (genealogy), Operations Research Center in 2017 and a Dual Degree (B.Tech and M.Tech) in Computer Science and Engineering from the Indian Institute of Technology, Delhi in 2011.

Research: Dr. Gupta’s research interests lie primarily in combinatorial, convex and robust optimization with applications in online learning and data-driven decision-making under partial information. Her work focuses on speeding up fundamental bottlenecks that arise in learning problems due to the combinatorial nature of the decisions, as well as drawing from machine learning to improve traditional optimization methods. Dr. Gupta’s research also explores strategic behavior of customers, fairness and bias in decisions, and unintended consequences of optimization.

Honors: Dr. Swati Gupta is a recipient of the Simons-Berkeley Research Fellowship for two programs: Bridging Discrete and Continuous Optimization and Real-Time Decision Making (AY 2017-2018). In the latter semester on Real-Time Decision Making, she was selected as the Microsoft Research Fellow. Her collaborative work on systematically evaluating heuristics and understanding what works best when with John Silberholz and Iain Dunning received a special recognition in the INFORMS Computing Society Student Paper Competition in 2016. She was also a finalist for the INFORMS Service Science Student Paper Competition for her work on dynamic pricing with Georgia Perakis, Maxime Cohen and Jeremy Kalas. Dr. Gupta received the Google Women in Engineering Award in India in 2011.

News/Articles: An MIT LIDS magazine article (2016), a Huffington Post article (2016).