I am a PhD student at Columbia Business School in the Decision, Risk, and Operations division. I am advised by Jing Dong and Hongseok Namkoong.
My research is on model-based control and differentiable simulation for operations research (OR) problems. I'm interested in leveraging ideas from reinforcement learning, optimal control, and the gradient estimation literature with modeling frameworks in OR to develop new controllers for large-scale problems.
In particular, I am interested in the applications in adaptive experimentation, policy learning, and routing control in queuing systems and discrete-event systems. I've also done research in mechanism design. I was an ML intern at Instacart in Spring 2023.