About me

Hi! I am an incoming Computer Science PhD student at University of Pennsylvania, advised by Surbhi Goel, and Enric Boix from Wharton Statistics and Data Science. I am about to graduate from The Hong Kong University of Science and Technology (HKUST), with BSc in Computer Science & Mathematics.

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

Theory: I am interested in elegant theories that uncover fundamental principles of deep learning, as well as theories that can guide practical applications, such as mup transfer.
Empirical Science: I am enthusiastic about using sandbox setups to explore the mechanisms of language models (and possibly the interplay with theory), including reasoning, alignment and interpretability.

Education

PhD in Computer & Information Science, University of Pennsylvania (Incoming)
BSc in Computer Science & Mathematics, Hong Kong University of Science and Technology, 2025
Exchange (Computer Science), EPFL, 2024 Spring
Visiting, University of Michigan, 2024 Summer

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

Hong Kong Government Scholarship 22’ (For students with GPA>3.95)
HKUST Epsilon Fund Award 24’ (For top math students at HKUST, <5 undergraduates each year)
Chern Class Entry & Talent Scholarship 22’, 23’, 24’ (For top math students at HKUST)

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

Honam WONG

About me

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Education

Review Experience

Selected Awards

Academic Activities