Yu Guang Wang

I am an Associate Professor in Institute of Natural Sciences, School of Mathematical Sciences, Department of Computer Science and Engineering, and Key Lab of Scientific and Engineering Computing of Minister of Education (MOE-LSC), at Shanghai Jiao Tong University. I am Adjunct Associate Professor at Shanghai AI Laboratory and UNSW Sydney. My research interests lie in artificial intelligence, computational mathematics, statistics and data science. In particular, I am working on geometric deep learning, graph neural networks, applied harmonic analysis, Bayesian inference, information geometry, numerical analysis, and applications to biomedicine and protein design. Previously, I was a research scientist at Max Planck Institute for Mathematics in Sciences, in Prof Guido Montufar's Deep Learning Theory Group. I obtained my PhD in applied mathematics from University of New South Wales under supervision of Prof Ian Sloan and Rob Womersley. I am a recipient of ICERM Semester Postdoctoral Fellowship of Brown University (2018), a long-term IPAM visitor of UCLA (2019), and long-term visitor of AI Group of Prof Pietro Lio at Univeristy of Cambridge (2022).