Dr. Shu Wang

Biography

Dr. Shu Wang is an Assistant Professor in the Department of Molecular Genetics at the University of Toronto. His research broadly focuses on the mathematical understanding of multi-scale networks underlying biological systems, such as protein signaling, cell states, and tissue organization. He aims to achieve the accuracy and precision needed to reliably treat heterogeneous diseases like cancer. Dr. Wang emphasizes the empirical analysis of high-dimensional, high-throughput biological data, including single-cell multiplex imaging and spatial transcriptomics. Additionally, he employs mathematical analysis of mechanistic models of biological processes, using appropriate tools on a case-by-case basis. His past work has included data analysis techniques such as supervised learning, manifold learning, spatial statistics, and probabilistic graphical models. Furthermore, his mathematical modeling techniques have encompassed dynamical systems theory, differential algebraic geometry, and chemical reaction network theory. Dr. Wang completed his Postdoctoral Associate at the Massachusetts Institute of Technology from 2021 to 2023, and he holds a PhD in Biophysics from Harvard University, completed in 2021, as well as a BA in Biology, Chemistry, Physics, and Mathematics from Cornell University, obtained in 2014.

Research Interests

Experience