Welcome!

I am a fourth-year Computer Science PhD student at the University of California, Irvine. My research advisor is Prof. Ioannis Panageas, and my research interests are:

1. Algorithms for Uncertain and Dynamic Environments
   I design robust online algorithms and game-theoretic frameworks for dynamic settings where data is noisy, incomplete, or arrives over time. My work specifically focuses on resource allocation and fair division, ensuring strict theoretical performance guarantees even when the environment is constantly changing.

2. Pricing and Mechanism Design for Data and API Markets
   I study the economics of AI infrastructure by designing pricing models and stable data exchanges. My research focuses on establishing equilibrium outcomes, proving price of anarchy bounds, and building practical mechanisms that align incentives in decentralized data markets.

3. The Intersection of Algorithmic Game Theory and AI. I explore the intersection of AGT and modern machine learning. My current work applies game-theoretic principles to align incentives in distributed learning frameworks, and studies the benefits of heterogeneity in agentic AI—such as when two misaligned LLMs collaborate on a task.

News

• December 2025 — Presenting our paper on the Existence and Complexity of Core-Stable Data Exchanges at NeurIPS (San Diego).
• December 2025 — Our paper on Equitable Core Imputations for Max-Flow, MST and b-Matching Games got accepted at AAMAS 2026.
• October 2025 — Presenting our paper on online fair division at INFORMS (Atlanta).
• September 2025 — Great visit to Northwestern University with Prof. Edith Elkind.
• September 2025 — Presenting our paper on Data Markets at Northwestern University.
• September 2025 — Presenting our paper on Human-AI collaboration under misalignment in the Human-AI Complementarity workshop at CMU.
• July 2025 — Attending EC 2025 at Stanford. If you’re around, let me know!
• May 2025 — Our paper on online fair division accepted at EC 2025.
• May 2025 — Attending AAMAS 2025; presenting our online fair division paper in the GAIW workshop.
• May 2025 — Presenting our paper on welfare approximations in hedonic games at AAMAS 2025.
• April 2025 — Our paper on fair division with few types accepted at IJCAI 2025.
• April 2025 — Our paper on federated learning accepted at ICML 2025.
• November 2024 — Our paper on welfare approximations in hedonic games accepted at AAMAS 2025.
• October 2024 — Attending FOCS 2024; would love to catch up!
• August 2024 — Presenting “Fair core imputations in flow games” at UIUC.
• Summer 2024 — Wonderful visit to UIUC with Prof. Ruta Mehta.

Academic Background

Before joining UCI, I earned my M.Sc. in the D-MTEC Department at ETH Zurich, under the guidance of Prof. Hans Gersbach and Dr. Akaki Mamageishvili. My master’s thesis examined liquid democracy and the impact of free vote delegation in proof-of-stake blockchains.

I completed my B.Sc. in Electrical Engineering (with a minor in Computer Science) at Sharif University of Technology, where I worked on machine learning applications in medicine under the supervision of Prof. Babak Khalaj.

Additionally, I have enriched my academic journey through research assistant roles at the KOF Swiss Economic Institute and the KTH Royal Institute of Technology in Sweden. In the summer of 2024, I had the privilege of visiting UIUC to collaborate with Prof. Ruta Mehta, Prof. Jugal Garg, and Prof. Bhaskar Ray Chaudhury on several exciting projects.

Please send me an email for the latest CV.