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Sanjay Mehrotra develops methods for decision optimization under uncertainty, studying geometric and algebraic properties of problems. He is passionate about applied research in Health Systems Engineering. However, his breadth of expertise has allowed him to significantly contribute to applied areas such as Energy, Inventory, and Financial Budgeting management. His research aims to bring a balance between mathematical rigor and practical applicability. Professor Mehrotra has developed groundbreaking results establishing the methodological convergence of two-stage stochastic optimization, allowing solutions to previously intractable problems. He has established fundamental results by taking a novel approach to quantifying convergence metrics associated with stochastic systems described by Markov Chains. Additionally, he has pioneered efforts in the area of Risk-Adjusted distributionally robust optimization. His healthcare systems engineering work includes modeling the National Transplant System, and he has made significant contributions in this area. His current research also focuses on liver disease and pandemic modeling. He is the founding director of the Center for Engineering Health Institute at the Northwestern University Institute of Public Health Medicine and has chaired the Institute for Operations Research and Management Sciences (INFORMS) Fellow Committee, serving on the INFORMS board as well.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.