I am an undergradute student from Columbia, advised by Prof. Andrew Blumberg and Prof. Tianyi Lin. I am a part of the Geometric Data Analysis Group in Columbia. I am now working closely with Prof. Mengdi Wang and her group in Princeton.

My research interest broadly lies in the intersection of Machine Learning (LLM Pre/Post Training, Deep Generative Models), Optimization (Convex & Non-convex & Non-Smooth & Zeroth-Order Optimization, Optimal Transport), and Geometric Data Analysis (Manifold Learning, Topological Data Analysis).

Currently, my works are focusing on LLM Alignment & Preference Optimization, LLM Reasoning, Zeroth-Order Optimization, and Geometry Processing. My research is partially supported by the HKU-IDS Research Grant.