Peter Song
(734) 764-9328
Applications: Medical Sciences, Public Health Sciences Methodologies: Correlational Analyses, Data Fusion, Meta Analysis, Networked Data Analysis, Spatio-Temporal Data Analysis Relevant Projects: NSF, NIH Connections:

Big Data Panel, National Science Foundation

Peter X. K. Song

Professor, Biostatistics

Dr. Song is interested in methodological developments related to modelling, statistical inference and applications in biomedical sciences.  One of his current research areas concerns the development of statistical methodology and algorithm for fusion learning and homogeneity pursuit in data integration to address various analytic challenges from data heterogeneity.  Another focus of his current research is on the regression analysis of networked data, with applications to electroencephalogram data analysis for the understanding of human growth and development.