Dongmian Zou received the B.S. degree in Mathematics (First Honour) from the Chinese University of Hong Kong in 2012 and the Ph.D. degree in Applied Mathematics and Scientific Computation from the University of Maryland, College Park in 2017. From 2017 to 2020, he served as a post-doctorate researcher at the Institute for Mathematics and its Applications, and the School of Mathematics at the University of Minnesota, Twin Cities. He joined Duke Kunshan University in 2020 where he is currently an Assistant Professor of Data Science in the Division of Natural and Applied Sciences. He is also affiliated with the the Zu Chongzhi Center for Mathematics and Computational Sciences (CMCS) and the Data Science Research Center (DSRC). His research is in the intersection of applied harmonic analysis, machine learning and signal processing. His current interest includes geometric deep learning, robustness, anomaly detection, and applications in e.g., communication, circuits and medical imaging.