Overview
My research is in the general area of theoretical computer science, particularly the areas of Approximation Algorithms, Online Algorithms, and Computational Economics. I work on developing models, algorithms, and markets for resource allocation, decision making, and provisioning problems.
Current Duke Appointments & Affiliations
Professor of Computer Science
·
2016 - Present
Computer Science,
Trinity College of Arts & Sciences
Recent Scholarly Works
The Price of Competitive Information Disclosure
Conference Proceedings of the Annual ACM Symposium on Theory of Computing · June 9, 2026 In many decision-making scenarios, individuals strategically choose what information to disclose to optimize their own outcomes. It is unclear whether such strategic information disclosure can lead to good societal outcomes. To address this question, we co ... Full text CiteFair Multi-Agent Persuasion with Submodular Constraints
Conference Leibniz International Proceedings in Informatics Lipics · June 1, 2026 We study the problem of selection in the context of Bayesian persuasion. We are given multiple agents with hidden values (or quality scores), to whom resources must be allocated by a welfare-maximizing decision-maker. An intermediary with knowledge of the ... Full text CiteBalanced Spanning Tree Distributions Have Separation Fairness
Conference Proceedings of the Annual ACM SIAM Symposium on Discrete Algorithms · January 1, 2026 Sampling-based methods such as ReCom are widely used to audit redistricting plans for fairness, with the balanced spanning tree distribution playing a central role since it favors compact, contiguous, and population-balanced districts. However, whether suc ... Full text CiteRecent Grants
III: Medium: Responsive Optimization for Algorithmic Decision Systems
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2024 - 2027AF: Small: Algorithm and Incentive Design for Modern Resource Allocation Platforms
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2025HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms
ResearchSenior Investigator · Awarded by National Science Foundation · 2019 - 2023View All Grants
Education
Stanford University ·
2003
Ph.D.
Stanford University ·
2002
M.S.