·
Assistant Professor
I am an Assistant Professor in the Department of Industrial and Enterprise Systems Engineering with an affiliate appointment in the Siebel School of Computing and Data Science at UIUC. I lead the IDEAL Lab (Incentives, Data, Equilibria, Allocations, and Learning) at UIUC. I have worked extensively on economics of data, equilibrium computation, mechanism design, and theory of fair allocations. I am broadly interested in economics and computation, machine learning, and theoretical computer science. My Erdős number is 2.
IDEAL Lab
Incentives, Data, Equilibria, Allocations & Learning
We study foundational questions on data, markets, allocations and learning from the lens of economics and computation.
Research Areas
📊
Economics of Data
Data markets, pricing, exchange economies, spillover externalities, fairness in collaborative ML.
⚙️
Equilibrium Computation & Mechanism Design
Competitive Equilibrium computation, Market Dynamics, Fisher Markets, Incentives in Federated Learning.
⚖️
Theory of Fair Allocation
EFX Allocations, Nash Social Welfare, Extremal Combinatorics.
PhD Students
Recent News
- 2026 PaperCompetitive Equilibrium in Labor Economies through the Lens of Goods and Chores Fisher Markets accepted at EC 2026.
- 2026 WorkshopOrganizing the Workshop on Foundations of Data Economics at EC 2026 — please attend!
- 2026 AwardOur paper Equilibrium Pricing in Oligopolistic Data Markets selected for Oral Presentation at ICML 2026 (top 0.7%). 📰 Press
- 2026 PaperTâtonnement Dynamics for Fisher Markets with Chores accepted at STOC 2026.
- 2026 PaperData Pricing via Competitive Equilibrium accepted at WWW 2026.
- 2025 AwardReceived the NSF CAREER Award on "New Frontiers of Fairness in Allocation and Exchange Problems." 📰 Press