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Yuzhou Chen is a Postdoctoral scholar in Department of Electrical and Computer Engineering at Princeton University. He is also currently an NSF Intern Research Fellow at Lawrence Berkeley National Laboratory. He received his Ph.D. in Statistics at Southern Methodist University. Before that, he was a research fellow at National Renewable Energy Laboratory and INRIA, respectively. He received his M.S. degree from University of Texas at Dallas and B.S. degree from Zhejiang Gongshang University. His main research interests are in geometric deep learning, topological data analysis, blockchain, and power system. He has published several papers on machine learning, data mining top conferences, including ICML, ICLR, NeurIPS, KDD, AAAI, etc. He was the recipient of 2021 Best Student Paper Award of the Section for Statistics in Defense and National Security (SDNS) of the American Statistical Association and 2021 Chateaubriand Fellowship.