Summary
He Huang is a Senior Research Scientist based in Chicago with nine years of experience at the intersection of speech, language, and large-scale ML systems. Currently at NVIDIA, he advances conversational AI, speech-LLM and spoken language understanding, building on prior research roles and internships at ByteDance, Preferred Networks and Amazon. He is a PhD student in Computer Science at UIC with a strong publication record (see Google Scholar) and a curiosity-driven approach to exploring new methods across speech and video representation learning. His background spans applied research and production-focused ML, making him adept at translating novel research into scalable systems. Notably, he has repeatedly returned to industry research internships during his PhD, reflecting an uncommon blend of academic rigor and practical deployment experience.
9 years of coding experience
2 years of employment as a software developer
PhD student in Computer Science, PhD student in Computer Science at University of Illinois at Chicago
School of Mobile Information Engineering, School of Mobile Information Engineering at Sun Yat-sen University
Chinese, English