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Cencheng Shen received the BS degree in Quantitative Finance from National University of Singapore in 2010, and the 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, re-joined Johns Hopkins University as an assistant research scientist in The Center for Imaging Science from 2016 to 2018, and is currently an assistant professor in the Department of Applied Economics and Statistics at University of Delaware. He is also affiliated with Department of Mathematical Sciences and Data Science Institute at UD. His research interest is focused on various aspects of multi-modal data, including testing independence, correlation analysis, kernel transformation, dimension reduction, pattern recognition and supervised learning. His research has been funded by NSF DMS, DARPA SIMPLEX, and DARPA L2M.

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