Peter Song

734 764 9328

Applications:
Behavioral Science, Biological Sciences, Complex Systems, Environmental and Climate Research, Healthcare Research
Methodologies:
Data Integration, Data Mining, Machine Learning, Mathematical and Statistical Modeling, Networks, Optimization, Statistics

Peter Song

Professor

Biostatistics, School of Public Health

Acting Chair, Department of Biostatistics and Professor of Biostatistics, School of Public Health

My research interests lie in two major fields: In the field of statistical methodology, my interests include data integration, distributed inference, federated learning and meta learning, high-dimensional statistics, mixed integer optimization, statistical machine learning, and spatiotemporal modeling. In the field of empirical study, my interests include bioinformatics, biological aging, epigenetics, environmental health sciences, nephrology, nutritional sciences, obesity, and statistical genetics.