About

Short Bio

I’m an Applied Scientist on the Amazon Quick team, developing AI agents that run natively on your desktop or in your browser.

I earned my PhD in Machine Learning from Georgia Tech, where I was advised by Prof. Justin Romberg and Prof. Ashwin Pananjady. My doctoral research focused on advancing the theoretical understanding of single- and multi-agent reinforcement learning, as well as developing efficient algorithms to address large-scale machine learning and decision-making challenges. Prior to that, I received my master’s degree in Applied Mathematics from Columbia University and my bachelor’s degree in Mathematics and Applied Mathematics from Wuhan University.

Research Interests

I am particularly interested in:

• AI Agents
• Multimodal Large Language Models
• Reinforcement Learning