I'm currently a PhD student at MIT, advised by Retsef Levi and Georgia Perakis, where I work on OR theory and AI.
Before that, I spent a year at Optimal Dynamics working under Warren Powell, where I implemented reinforcement learning environments and used predict-then-optimize max flow to optimize truck scheduling.
At Cornell, I worked in Professor Frazier's Lab on projects that combine Large Language Models with traditional optimization methods to create more intelligent and adaptive decision-making systems. My work on reflective optimization and quality diversity methods has been recognized at multiple conferences and symposiums. I also worked with David Shmoys on final exam scheduling.
Beyond research, I'm passionate about teaching, playing the Piano, JS Bach, and cooking. Feel free to email me, if you would like to talk.