Stephen Baek is an applied geometer and a data scientist who conducts research in ‘geometric data analysis.’ At the intersection of computational geometry, vision, and machine learning, Baek studies a wide range of multidisciplinary problems, in which shapes play an important role in understanding scientific phenomena. His previous and ongoing research projects include AI-assisted design of mechanical systems, linkages between microstructures and mechanical behaviors of material systems, relationships between geometric features and manufacturability, roles of tumoral and peritumoral geometry on cancer treatment outcome, socioeconomic bias associated with physical appearance, etc. He has published more than a hundred papers and abstracts in journals and conference proceedings. He has been leading various research projects sponsored by federal/local governments and industry, including the National Science Foundation (NSF), National Institutes of Health (NIH), U.S. Department of Defense, NASA, U.S. Department of Transportation, Hyundai Motor Company, and others. He received various honors and awards including the Korean National Science and Engineering Scholarship, Presidential Postdoc Fellowship, and several best paper awards from conferences and journals. Currently, he is an associate professor with tenure at the University of Virginia with appointments in the School of Data Science (primary) and the School of Engineering & Applied Science.