I am a fifth-year Computer Science PhD candidate at the University of California, Irvine, advised by Prof. Ioannis Panageas. During my PhD I have held several research positions: this fall (2026) I am visiting MIT to work with Prof. Negin Golrezaei, in Summer 2026 I was a Research Scientist at Adobe, in Summer 2025 I visited Northwestern University hosted by Prof. Edith Elkind, and in Summer 2024 I visited UIUC to work with Prof. Ruta Mehta.

Before my PhD, I completed an M.Sc. in the D-MTEC Department at ETH Zurich, and a B.Sc. in Electrical Engineering (minor in Computer Science) at Sharif University of Technology, where I worked on machine learning applications in medicine with Prof. Babak Khalaj. I also held research positions at the KOF Swiss Economic Institute in Switzerland and KTH Royal Institute of Technology in Sweden.

My research focuses on how to get the most capability out of AI models and agents under fixed budgets of compute, data, and cost. I design algorithms for the allocation decisions this requires: which model or agent should handle a task, how much inference-time compute to allocate, and how to distribute scarce computational resources across competing workloads. My PhD develops the foundations for this work: algorithms with provable guarantees on efficiency, fairness, and strategic robustness for the markets that govern AI, from fairly allocating compute to workloads that arrive unpredictably to designing pricing and allocation mechanisms for data and model APIs. The common thread is making AI systems work well under real resource constraints and in the presence of strategic users.

News

• June 2026: I joined Adobe as a Research Scientist Intern working on agentic AI and harness optimization.
• April 2026: Our paper on How to Price Data: A Market Equilibrium Based Approach got accepted at ICML 2026.
• 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.

Please send me an email for the latest CV.