Bandit Learning in Matching Markets with Interviews (Arxiv)
I’m a Ph.D. candidate in Computer Science at UMass Amherst, advised by Prof. Hedyeh Beyhaghi and co-advised by Prof. Mohammad Hajiesmaili. I work at the intersection of Decision-Making under Uncertainty and Computational Economics.
My research revolves around applying online learning to Econ\CS problems, with a focus on Algorithmic Game Theory, Matching Markets, and Resource Allocation. I’m particularly excited about Statistical Learning Theory and Multi-Armed Bandits, where I aim to design efficient, practical algorithms that smartly balance exploration and exploitation in uncertain, dynamic environments.
I am a member of UMass Theory Group and collaborate closely with the Solar Lab. Additionally, I had the privilege of working under the tutelage of Prof. Mohammad Ghodsi during my academic journey.