Yingheng Tang

Yingheng Tang is a postdoctoral scholar in the Center for Computational Sciences and Engineering (CCSE) in the Computing Sciences Area at Lawrence Berkeley National Laboratory. His current research objective in the lab is to implement ML approaches such as operator learning and Surrogate Modeling to improve the performance of the numerical solvers in microelectronics and electromagnetic domain.

Research Interest

AI for science, neuromorphic computing and HPC.

Publication

Please see my google scholar page.