Alireza Fallah

Alireza Fallah is an Assistant Professor of Computer Science at Rice University, joining in Fall 2025 after postdoctoral research at UC Berkeley under Michael Jordan and a Gamelin Postdoctoral Fellowship at Simons Laufer Mathematical Sciences Institute. His interdisciplinary work bridges machine learning theory, game theory, algorithmic market design, mechanism design, optimization, and privacy to address human-algorithm interaction challenges.

His educational background includes dual BSc degrees in Mathematics and Electrical Engineering from Sharif University of Technology (2017), followed by MS (2019) and PhD (2023) in Electrical Engineering and Computer Science from MIT under Asu Ozdaglar and Daron Acemoglu. His doctoral research was supported by Apple Scholars, MathWorks Engineering, and Siebel Scholarships.

Dr. Fallah's research focuses on designing privacy-preserving mechanisms for data markets, dynamic allocation systems, and strategic environments. Key contributions include frameworks for Bayesian coordinate differential privacy, analysis of price discrimination under privacy constraints, and fair allocation in dynamic mechanism design—addressing critical tensions between algorithmic efficiency, user privacy, and economic incentives in modern digital platforms.

His 15 most recent publications (2021-2025) reveal a consistent trajectory toward integrating privacy guarantees with economic mechanisms, particularly in data markets and dynamic allocation. Over 60% of his recent work addresses privacy-preserving design, with growing emphasis on real-world applications like epidemic testing and platform architecture.

Notable recognitions include:

• Apple Scholars in AI/ML PhD fellowship
• MathWorks Engineering Fellowship
• Siebel Scholarship
• Gamelin Postdoctoral Fellowship at Simons Institute
• ACM SIGecom Doctoral Dissertation Award Honorable Mention

He currently leads the Ken Kennedy Institute-funded research cluster on "Foundations of Trustworthy AI" at Rice, focusing on privacy, fairness, security, and societal impact. His collaborative work with institutions like MIT, UC Berkeley, and Paris Dauphine demonstrates strong interdisciplinary engagement. Though student advising isn't detailed in source materials, his role as Assistant Professor indicates active graduate mentorship.

Dr. Fallah co-organizes community initiatives like the EC conference tutorial on Economics of Data and participates in research programs at Simons Institute, maintaining active leadership in the trustworthy AI ecosystem through his newly established Rice research cluster.