About me

Hi! I am an incoming PhD student at University of Pennsylvania, advised by Surbhi Goel (CIS) and Enric Boix-Adsera (Wharton Statistics & Data Science). I received my Bachelor’s degree in Computer science & Mathematics from Hong Kong University of Science and Technology (HKUST) in 2025.

My research interests lie in theory of deep learning and LLMs.

Theory: I am interested in generalization and optimization theories, to be more specific, the theories that uncover fundamental principles of learning (and scaling).

Education

PhD in Computer & Information Science, University of Pennsylvania (Incoming)
BSc in Computer Science & Mathematics, Hong Kong University of Science and Technology, 2025 (GPA 4.099/4.3, Rank 1st, before grad-school app.)
Exchange (Computer Science), EPFL, 2024 Spring

Review Experience

Conference / Journal: NeurIPS 2025, ICML 2025, L4DC 2025, NeurIPS 2024, TMLR
Workshop: ICML 2024 Workshop on Theoretical Foundations of Foundation Models (TF2M), ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning (BGPT)

Selected Awards

Chern Class Achievement Scholarship (Outstanding) (Highest Award for math graduates)
HKUST Epsilon Fund Award 24’ (For top math students at HKUST, <5 undergraduates each year)

Academic Activities

Heidelberg Laureate Forum, Heidelberg, Germany, Sep 2024
LeT-All Mentorship Workshop, Learning Theory Alliance, Online, June 2024
International Conference on Learning Representations (ICLR), Vienna, May 2024
Conference on Parismony and Learning (CPAL), Hong Kong, Jan 2024