Paper “Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies” accepted to NeurIPS 2025
To present “Online Learning for Dynamic Vickrey-Clarke-Groves Mechanism in Unknown Environments” at the Job Market Showcase track of the 2025 INFORMS Annual Meeting
Chairing the Massive Inference session at the 2025 Allerton Conference
Presented poster on “Online Learning for Dynamic Vickrey-Clarke-Groves Mechanism in Unknown Environments” at the 11th Midwest Workshop on Control and Game Theory (Apr 2025)
Invited talk titled “Limited-Trust in Diffusion of Competing Alternatives Over Social Networks” at SUTD (Dec 2023)
Background
PhD candidate in Industrial Engineering at University of Illinois Urbana-Champaign
Affiliated with the Department of Industrial & Enterprise Systems Engineering and Coordinated Science Laboratory
Research spans game theory, online learning, social networks, and optimal control
Primary interests include equilibria of dynamic games, learning algorithm design for multi-agent systems, and online control in networks using techniques from game theory, optimization, multi-armed bandits, and reinforcement learning
Focuses on strategic resource allocation; broadly interested in market design, distributed systems, networked control, inverse game theory, and applications in cyber security, data privacy, traffic routing, and wireless communication