About me

I am a Ph.D. student in Machine Learning at the Georgia Institute of Technology, advised by Prof. Pascal Van Hentenryck. I work on agentic AI, especially LLM agents that evolve algorithms.

Background

Before beginning my Ph.D., I earned a Master's degree in Operations Research from the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, and a Bachelor's degree in Data Science from The Chinese University of Hong Kong, Shenzhen.

I have been fortunate to collaborate with Prof. Xin Chen during my master's studies, as well as Prof. Xinyun Chen and Prof. Pengyi Shi during my undergraduate studies.

Research interests

My research focuses on agentic AI, particularly algorithm evolution with LLM agents, with a longer-term interest in recursive self-improvement, and on benchmarking what agents can do. I also study the efficiency and reliability of language models. In addition, I have worked on ML-integrated optimization for large-scale logistics, deep time-series forecasting for 5G wireless communication, and multi-agent reinforcement learning.

News

    Selected publications

    Full list (9)