About

Short Bio

I am an Applied Scientist on the Amazon Q Business Optimus Team, working on a generative AI powered enterprise automation service designed to streamline the creation and maintenance of workflow automations. I earned my PhD in Machine Learning from Georgia Institute of Technology, where I was advised by Prof. Justin Romberg and Prof. Ashwin Pananjady. My doctoral research focused on advancing 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