Raymond Yeh received his PhD in 2021 from the University of Illinois at Urbana-Champaign (UIUC) advised by Prof. Alexander Schwing, Prof. Minh Do, and Prof. Mark Hasegawa-Johnson. Previously, he completed his B.S. and M.S. degree in Electrical Engineering from UIUC as well. He has also interned at Google AI and Johns Hopkins University. He is a recipient of the Google PhD Fellowship, the Mavis Future Faculty Fellowship, and the Henry Ford II Scholarship.
Raymond’s research is at the intersection of machine learning and computer vision. Specifically, his research focuses on developing algorithms to learn effective and explainable models ranging across several domains including audio, vision, language, and multi-agent systems.