Duen Horng Chau is a Professor in the School of Computational Science and Engineering in the College of Computing at Georgia Tech. He co-directs Georgia Tech's MS Analytics program. He is the Director of Industry Relations of The Institute for Data Engineering and Science (IDEaS), and the Associate Director of Corporate Relations of The Center for Machine Learning. His research group bridges machine learning and visualization to synthesize scalable interactive tools for making sense of massive datasets, interpreting complex AI models, and solving real world problems in cybersecurity, human-centered AI, graph visualization and mining, and social good. His Ph.D. in Machine Learning from Carnegie Mellon University won CMU's Computer Science Dissertation Award, Honorable Mention.

He received 19 best paper type awards and published 200+ refereed articles across machine learning and visualization venues. He received many faculty awards (Google, Meta, Intel), the GT-wide Senior Faculty Outstanding Undergraduate Research Mentor Award, and the Dean’s Award for establishing GT’s AI leadership for the College of Computing. His work has been deployed by Google, Microsoft, Meta, Nvidia, NASA ADP, NortonLifeLock, and Atlanta Fire Rescue Department. His students won PhD fellowships (Google, Apple, IBM, JPMorgan, NASA, NSF). He teaches 1,000+ students each semester. His work has been covered by popular media: The Wall Street Journal, Wired, MIT Technology Review, Fortune, MSNBC, USA Today, Los Angeles Times, The Washington Post, Engadget, Gizmodo.