Li Han

Professor Li Han’s current research interests include data science, machine learning, data science and computing education, and scientific informatics. She applies methods ranging from statistical analysis and classical machine learning to deep learning, physics-informed modeling, and generative AI in collaboration with researchers across diverse fields. She also mentors undergraduate and graduate students and serves as principal investigator of CROSSROADS, an NSF-funded project that expands real-world, interdisciplinary data science learning and creates robust opportunities for student success.