Zebang Shen
Dr.
Zebang Shen
PostDoc
We have not succeeded in answering all our problems—indeed we sometimes feel we have not completely answered any of them. The answers we have found have only served to raise a whole set of new questions. In some ways we feel that we are as confused as ever, but we think we are confused on a higher level, and about more important things.
Zebang Shen is a post-doctoral researcher at ETH Zürich, where he is supervised by Prof. Niao He. Prior to this role, he was a post-doctoral researcher at the University of Pennsylvania from 2019 to 2022, working under the guidance of Professors Alejandro Ribeiro and Hamed Hassani. He earned his Bachelor's degree and Ph.D. in 2014 and 2019, respectively, from Zhejiang University in China.
Shen's recent research has focused on developing neural network-based methods for solving partial differential equations using entropy dissipation principles. He is also actively involved in optimization in the probability space and stochastic optimization techniques for addressing machine learning problems.
