Stephan Zheng is a research scientist at Salesforce Research, where he focuses on deep reinforcement learning and multi-agent learning. He has also worked on improving the robustness of deep learning, detecting adversarial examples and hierarchical models for human behavioral and spatiotemporal data.
Stephan obtained his PhD in 2018 in the Machine Learning group at Caltech, advised by Yisong Yue. Before that, he completed an MSc in Theoretical Physics and BSc in Physics/Mathematics at Utrecht University, Part III Mathematics at the University of Cambridge, and was a visiting student at Harvard University. He received the 2011 Lorenz Prize in Theoretical Physics from the Dutch Academy of Arts and Sciences for his thesis on exotic dualities in topological quantum field theory, and was twice a research intern with Google Research and Google Brain.