Annual Conference Computational Learning Theory · 2020
Cited
4
Resume (English only)
Academic Achievements
Recipient of an NSF CAREER Award; multiple preprints, such as 'Computing Envy-Free up to Any Good (EFX) Allocations via Local Search' and others; several published papers, including 'The Randomized Query Complexity of Finding a Tarski Fixed Point on the Boolean Hypercube' and more.
Research Experience
Co-organized the ACM EC 2024 Mentoring Workshop, the ACM EC 2023 Mentoring Workshop, a Mini-Symposium on Games and Learning at CanaDAM 2023, a Workshop on Fair Division at FOCS 2022, and the 2019 Midwest Theory Day.
Background
Assistant Professor of Computer Science at Purdue University. Research interests include algorithmic game theory, theory of computation, artificial intelligence, algorithms, learning, computational complexity and their interface with dynamical systems and optimization. Specific research topics include fair division, markets and auctions, games, learning dynamics, and local search processes.
Miscellany
Involved in various academic activities, such as the theory seminar (hybrid) and the theory reading group.