Han Tang

Han Tang is a Research Fellow at the Department of Computer Science, University of Copenhagen, specializing in Machine Learning. He is affiliated with the Machine Learning section, which engages in both theoretical and applied research across domains like information retrieval, medical data analysis, remote sensing, sustainability, and biological data modeling.

Research activities at the department include collaboration with the SCIENCE AI Centre and the TreeSense center for remote sensing and deep learning of global tree resources. The section also provides access to a powerful compute cluster for advanced computational tasks.

His recent work includes research on contextual molecule representation learning, leveraging chemical reaction knowledge for data-driven applications in computational chemistry and artificial intelligence. This aligns with the department’s focus on integrating machine learning with interdisciplinary challenges.