Co-advising with Michael Elliott
Mingyan is interested in Bayesian hierarchical model, longitudinal data analysis methods and their application to physical and mental health related field
Current topic: A Bayesian approach for modeling variance of intensive longitudinal biomarker data as predictors of health outcomes
Education:
2020-2022 M.S. in Biostatistics, University of Michigan, Ann Arbor
2016-2020 B.S. in Applied Psychology, Renmin University of China;