About Me

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.

Services

Program Committee

• EC'26

Peer Reviewer

• NeurIPS'24, ICML'26 ⭐ Gold Reviewer, NeurIPS'26

Journal Reviewer

• Management Science

Organizer

• UMass Theory Seminar'25

Talks

Invited Talks

• Two-Sided Learning in Matching Markets with Interviews INFORMS 2026 · San Francisco, CA
• Multi-Agent Learning in Markets INFORMS 2025 · Atlanta, GA
• Multi-Agent Bandit Learning UMass Theory Group Meeting · Amherst, MA

Posters

• Workshop on Online Learning and Economics EC'25 · Stanford University, CA
• Workshop on Learning-augmented Algorithms SIGMETRICS'25 · Stony Brook University, NY
• Workshop on Fairness in Operations and AI Columbia University · New York, NY