Shuhao Cao, Ph.D.
Shuhao Cao is a computational mathematician interested in solving partial differential equations, and he had his Ph.D. from Purdue University working on how to approximate Maxwell's equations adaptively using finite element methods. More recently, Shuhao has been dedicated to bringing together the design of operator-valued neural network architectures and the theory of partial differential equations to help the PDE solvers become faster and more accurate. Shuhao also hangs around on GitHub (scaomath@GitHub) and contributes to open-source software. In his spare time, Shuhao likes jogging and playing a board game called Go.
