Welcome to my website! I am an Assistant Professor in the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. I am presently on leave from being an Associate Professor in the Engineering Systems and Design pillar of the Singapore University of Technology and Design. My research interests lie in analytics and operations research, with a focus on quantitative models, algorithms and fundamental limits in translating data into large-scale planning and operational decisions which are efficient, robust, and reliable in the face of uncertainty. 

There is significant interest in using Artificial Intelligence (AI) to enhance decision-making across various sectors, from manufacturing, finance, etc., to those powering critical infrastructures such as transportation, power distribution networks, and supply chains. The inherent nature of these applications and their intertwined uses in society demand that the planning and operational decisions derived from AI driven prescriptive models be robustly effective, reliable, and are not prone to high-impact risks or excessive latency costs stemming from uncertainty. Our research focusses on addressing fundamental challenges arising in this space by synergistically combining the strengths of optimization and simulation modeling paradigms with innovative use of tools from applied probability, machine learning, and causal inference. 

I am honoured to have received the Outstanding Simulation Publication Award (2024), the biennial Applied Probability Society best publication award (2023), the INFORMS Junior Faculty JFIG paper competition Third Prize (2021), and Winter Simulation Conference best paper award (2019).  My CV can be viewed here: link to CV

I currently serve as an Associate Editor for the journals Operations Research, Stochastic Systems, Operations Research Letters and as an elected council member of the INFORMS Simulation Society. 

Methodological areas: Applied probability, Optimization under uncertainty, Simulation

Specific topics: Distributionally Robust Optimization modeling, Analysis and Simulation of high-impact rare events