Summary
Jen-tse Huang is a postdoctoral researcher at Johns Hopkins University with eight years of experience investigating the robustness, reliability, and interpretability of large language models and NLP systems. He earned a PhD from the Chinese University of Hong Kong after a BS in Computer Science from Peking University, and has bridged academic and industry research through roles at USC, Tencent, and SenseTime. His work spans LLM safety and social-bias analysis as well as model interpretability techniques, combining theoretical rigor with applied evaluations in real-world settings. Known for moving between industry labs and top universities, he brings practical insights from deploying research at scale alongside deep technical expertise in model introspection.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Peking University
The Chinese University of Hong Kong (CUHK)