Harlin Lee is an Assistant Professor in the School of Data and Information Sciences, Division of Data Science and Society, at the University of North Carolina at Chapel Hill, with affiliations in Mathematics, Computer Science, and Computational Medicine. She received her Ph.D. in Electrical and Computer Engineering and M.S. in Machine Learning from Carnegie Mellon University, and her M.Eng. and B.S. in Electrical Engineering and Computer Science from MIT. She completed postdoctoral training in applied math at UCLA before joining UNC. Her research lies at the intersection of machine learning and computational mathematics, with a focus on understanding and leveraging data geometry. Her work spans machine learning on graphs and manifolds, optimal transport, generative models, and applications in biomedicine. Dr. Lee has been recognized as a Heidelberg Laureate Forum Young Researcher (2025), a Rising Star in Data Science (2022), and a Rising Star in Computational and Data Sciences (2022). Her research has been supported by the National Science Foundation.

**Shorter Version**

Harlin Lee is an Assistant Professor in the School of Data and Information Sciences, Division of Data Science and Society, at the University of North Carolina at Chapel Hill. She received degrees in electrical engineering and computer science from CMU and MIT, and completed postdoctoral studies in applied math at UCLA. Her research lies at the intersection of machine learning and computational mathematics, with a focus on understanding and leveraging data geometry, such as machine learning on graphs and manifolds, optimal transport, generative models, and applications in biomedicine.