Computational and Biological Learning Lab

Andy Lin


Andy joined the CBL group in October 2022 as a PhD student participating in the Cambridge — Tübingen PhD Fellowships in Machine Learning program and the ELLIS PhD Program. His research focuses on Bayesian approaches to calibrated uncertainty estimation in deep learning, particularly function-space methods and linear models, and he is also interested in information geometry. His academic supervisors are José Miguel Hernández-Lobato (University of Cambridge, Professor) and Bernhard Schölkopf (Max Planck Institute for Intelligent Systems, Director), and his studies and research are funded by the Harding Distinguished Postgraduate Scholars Programme. Before starting his PhD, Andy received his B.Sc. in Computer Science and M.Sc. in Autonomous Systems from TU Darmstadt in Germany, where he worked with Stefan Roth, Jan Peters and Kristian Kersting and received the Deutschlandstipendium. He also attended the University of British Columbia, Stanford University and Aalto University through student exchange programs and summer sessions, and visited Louisiana State University as part of the Fulbright’s Leaders in Entrepreneurship program.