I am interested in topics in microeconomics, machine learning, and operations.
Currently, I am:
- Research Fellow at California Policy Lab (on Labor Team under Prof. Till von Wachter and Peter Mannino)
- Applied Researcher (advised by William Chang)
Previously, I was:
- Summer Analyst at NERA Economic Consulting (NYC Securities and Finance, Milev Team)
- Research Assistant (under Prof. Felipe Goncalves and Prof. Emily Weisburst)
Working Papers
- Impacts and Policy Implications of Inflation and Declining Real UI Benefit Levels, 2026
- Kenny Guo*, Terrence Yu*, Peter Mannino
- Decentralized Online Learning of Stackelberg Equilibrium in General-Sum Leader-Controller Markov Games, 2025
- Kenny Guo, Ricardo Parada, Helen Yuan, Larissa Xu, William Chang
- Policy Optimization for Corrupted Markov Decision Processes, 2025
- Khang Nguyen, Kenny Guo, William Chang
- Coordinating for Clicks: Learning in Multi-Agent Information Asymmetric Cascading Bandits, 2025
- Kenny Guo, Lily Jiang, Lune Chan, Sophia Yi, William Chang
Works in Progress
- Payoff-Based Learning of Performatively-Stable and Nash Equilibrium in Decentralized Decision-Dependent Distribution Games
- Kenny Guo, William Chang
Presentations/Conferences
Upcoming
Past
- Undergraduate Research Week (5/19/2025-5/23/2025)
- Variations on Information Asymmetric Multi-Agent Reinforcement Learning Bandit Problems, with Lily Jiang and Khang Nguyen [Video]
- Impacts and Policy Implications of Inflation and Declining Real UI Benefit Levels, with Terrence Yu
- Economic Board of Visitors Meeting (4/28/2025)
- UI and Inflation
- SoCal AI and Responsibility Summit (SAIRS) (4/19/2025)
- Coordinating for Clicks: Learning in Multi-Agent Information Asymmetric Cascading Bandits, with Helen Yuan
- Winner of Best Overall Contribution to 2025 Research Competition