Miaoyan Wang

Miaoyan Wang is an assistant professor of statistics at UW-Madison. She is also a faculty affiliate in the Institute for Foundations of Data Science, a multi-University TRIPODS Phase II Initiative. Her research is in machine learning theory, nonparametric statistics, higher-order tensors, and applications to genetics. Her interdisciplinary research efforts have been reflected in her training. In 2015-2018, she was a postdoc at the Department of EECS at UC Berkeley and a Simons Math+X postdoc at University of Pennsylvania. She received a PhD in Statistics from the University of Chicago in 2015. She has won NSF CAREER award, a Best Student Paper Award (with her as advisor) from American Statistical Association, the Madison Teaching and Learning Excellence Fellow, and multiple prestigious young researcher awards in statistics, machine learning, and genetics.