I am a third-year Ph.D. student in Industrial Engineering at Georgia Tech ISyE, where I am advised by Prof. Pascal Van Hentenryck. Prior to joining Georgia Tech, I received my B.S. in Operations Research and Engineering at Cornell University. I was fortunate to work with Profs. David Shmoys, Shane Henderson, and David Goldberg at Cornell, as well as Prof. Eleftheria Kontou at UIUC.

My research interests lie at the intersection of optimization and machine learning, with a particular focus on applications that drive real-world impact in logistics and transportation. My work focuses on Large-Scale Decision-Making Under Uncertainty across two primary directions:

• Learning to Accelerate Optimization: Leveraging machine learning to speed up large-scale solvers through ML-guided heuristics and end-to-end learning using “optimization proxies”.

• Contextual Optimization: Utilizing contextual information to improve optimization outcomes via contextual stochastic optimization, decision-focused learning, and conformal prediction.

Most recently, I have expanded my research to explore the intersection of Large Language Models (LLMs) and Operations Research for decision support systems.

Download my CV.