Summary
Raymond Yeh is an Assistant Professor of Computer Science at Purdue University with 11 years of experience building and researching machine learning and computer vision systems. He develops algorithms that emphasize both effectiveness and explainability across audio, vision, language, and multi-agent domains, grounded in a Ph.D. in Electrical and Computer Engineering from UIUC. His work blends deep learning theory with practical systems experience from multiple Google internships and research roles at TTIC and UIUC, translating into reproducible, performance-oriented research. Raymond’s background in signal processing and speech (including HMM and iVector work) gives him a distinct edge in multimodal modeling and audio-visual integration. He has a perfect undergraduate GPA and a track record of optimizing research code for production-like settings, reflecting both rigor and engineering pragmatism. Based in Lafayette, Indiana, he balances academic leadership with hands-on experimentation that bridges explainability and deployability.
11 years of coding experience
10 years of employment as a software developer
High School Diploma, High School Diploma at Taipei American School
University of Illinois Urbana-Champaign