Honam Wong is a PhD student at UPenn studying deep learning theory and mechanistic interpretability, advised jointly in CS and Wharton statistics. With two years of research experience across institutions like UMich, Northwestern, and HKUST, Honam has coauthored papers on OOD generalization, benign overfitting, and implicit bias in scientific ML. They run a popular bilibili science channel with 34K subscribers and ~1.7M views, translating advanced math and CS topics to broad audiences. Comfortable at the intersection of theory and communication, Honam combines rigorous academic work with public-facing science outreach and remains open to future internship collaborations.
2 years of coding experience
Hong Kong University of Science and Technology (HKUST)
Spring Exchange Computer Science, Spring Exchange Computer Science at EPFL
Doctor of Philosophy - PhD Computer and Information Sciences, Doctor of Philosophy - PhD Computer and Information Sciences at University of Pennsylvania
توسط ابزار فرگمنت میتونین دامنههای مردهتون رو مجدد زنده کنید! / Using the Fragment tool, you can revive your dead domains!
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