Bo Li

Bo Li is an Assistant Professor in the Department of Statistics at the University of California, Berkeley. His research bridges statistical theory with applications in machine learning, optimization, and autonomous systems.

• Education: PhD in Statistics (2006), advised by Peter Bickel
• Email: boliboli@gmail.com

Bo Li's research focuses on machine learning, control systems, and energy-efficient optimization. His work addresses challenges in autonomous vehicle navigation, solar panel positioning, and stochastic energy routing problems. Key themes include predictive control frameworks, multi-agent coordination, and uncertainty handling in dynamic systems.

Recent publications highlight 2025 and 2024 advancements in model predictive control (MPC), generalized Nash equilibrium for autonomous racing, and stochastic optimization for energy systems. His work spans vehicle routing, solar energy tracking, and multi-agent control, emphasizing data-driven approaches and real-world validation.