Dr. Yang Chen

Biography

Yang Chen received a Ph.D. in Statistics from Harvard University in 2017 and joined the University of Michigan as an Associate Professor of Statistics. He was previously an Assistant Professor of Statistics and Research Assistant Professor at the Michigan Institute of Data Science (MIDAS). His research focuses on statistical methodology and computational algorithms motivated by scientific applications, with particular interest in Bayesian modeling, Hidden Markov models, and general finite mixture models. Chen has also worked on applied statistics in fields such as astronomy and space science, as well as statistical methods for large-scale imaging data, spatial-temporal data analysis, and uncertainty quantification in complex models. He is actively involved in recruiting postdoctoral and graduate students to join his research group and appreciates updates from past students about their work and life.

Research Interests