Professor of Biostatistics
Tel: (734) 764 9328
Email:
Professor Song's research interests concern primarily the development of innovative statistical methodologies for design and analysis of biomedical studies, and its applications to medical and public health sciences. The specific fields of methodology research include data integration, data harmonization, high-dimensional data analysis, longitudinal data analysis, missing data, spatio-temporal data analysis, and statistical methods in bioinformatics and genetics. He is deeply involved in a wide range of collaborations with clinical researchers from Departments of Nephrology, Pediatrics, Environmental Health Sciences, Health Education and Practice, and Nutritional Sciences.
Statistical Methods of Data Integration, Model Fusion, and Heterogeneity Detection in Big Biomedical Data Analysis (2013-2018)
Assistant Professor at University of Pittsburgh
Wei Ding
Copula Regression Models for the Analysis of Correlated Data with Missing Values (2012-2015)
Barclays Investment Bank
Yan Zhou
Statistical Methods for High-Dimensional Networked Data Analysis (2010-2014)
Merck & Co.
