Dr Yu Guang Wang

I am an Associate Professor in Institute of Natural Sciences, opens in a new window, School of Mathematical Sciences, opens in a new window, Department of Computer Science and Engineering, opens in a new window, and AI Biomedicine Center, opens in a new window of Zhangjiang Institute for Advanced Study, opens in a new window, and Key Lab of Scientific and Engineering Computing of Minister of Education (MOE-LSC), opens in a new window, at Shanghai Jiao Tong University. I am a PI of Shanghai AI Laboratory, opens in a new window. I am also Adjunct Associate Professor at UNSW Sydney, opens in a new window.

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, opens in a new window. I obtained my PhD in applied mathematics from University of New South Wales under supervision of Prof Ian Sloan, opens in a new window and Rob Womersley, opens in a new window. I am a recipient of ICERM Semester Postdoctoral Fellowship, opens in a new window of Brown University (2018), a long-term IPAM visitor, opens in a new window of UCLA (2019), and long-term visitor of AI Group of Prof Pietro Lio, opens in a new window at Univeristy of Cambridge (2022).