Hi, welcome to my website! I’m an Assistant Professor of Operations Research at the Naval Postgraduate School. I obtained my PhD in Operations Research at MIT (2019), under the advising of Professor David Simchi-Levi. My research work is in (Distributionally/Adversarially) Robust Optimization. More specifically, I study decision-making under uncertainty (both stochastic and adversarial) in areas like inventory, scheduling, networks, and statistics/ML. My focus has been on using data and/or distributional information to design informative, tractable, and robust optimization models.

Research Interests

Robust and distributionally robust optimization; convex analysis and perturbation duality; stochastic optimization; adversarial robustness and multiple hypothesis testing; safe AI and mechanistic interpretability; dynamic resource allocation, weapon targeting, and search and detection.

Ongoing/(Under-Review) Project(s)

• Adversarial-Robust False Detection Rate Control
• Calibrated, Contextual Distributionally Robust Optimization
• Adaptive Network Routing with Deadlines

Research Funding Acknowledgement

• Office of Naval Intelligence: Aligning Large Language Models for Naval Report Automation
• Naval Research Program: Reducing Training Delays in Naval Aviation Through Simulation
• Air Force Office of Scientific Research (Mathematical Optimization Program) grant: “Optimal Decision Making under Tight Performance Requirements in Adversarial and Uncertain Environments: Insights from Rockafellian Functions”.