Dr. Cencheng Shen is an Associate Professor in the Department of Applied Economics and Statistics at the University of Delaware. Additionally, he holds joint appointments in the Data Science Institute, the Department of Mathematical Sciences, the Center for Autonomous and Robotic Systems, and the AI Center of Excellence at the University of Delaware. His research lies at the intersection of machine learning, statistical theory, and graph inference. His research projects have been funded by NSF, DARPA, and Microsoft Research.
Dr. Shen received his BS degree in Quantitative Finance from the National University of Singapore in 2010, and his PhD degree in Applied Mathematics and Statistics from Johns Hopkins University in 2015. He worked as a visiting assistant professor in the Department of Statistical Science at Temple University from 2015 to 2016, and later as an assistant research scientist in the Center for Imaging Science at Johns Hopkins University from 2016 to 2018. Dr. Shen joined the University of Delaware as an assistant professor in 2018 and was promoted to associate professor with tenure in 2023.
Dr. Shen’s current research interests include graph embedding, temporal graphs, dependence and correlation, distance and kernel, neural networks, random forests, dimension reduction, and feature screening.
