(734) 936-4804
Applications: Bioinformatics, Biological Sciences, Business Analytics, Climate Research, Clinical Research, Environmental Sciences, Epidemiology Methodologies: Bayesian Methods, High-Dimensional Data Analysis, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics Relevant Projects:

Government: NSF, NIH

Industry: ElMindA, Takeda

Xuming He

Professor, Statistics, College of Literature, Science, and the Arts

Research interests include quantile regression modeling for associations related to possibly unusual or extreme events, subgroup analysis, and uncertainty quantification after model selection.