Faculty

Peter X.K. Song, Ph.D.

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.

Past Members

PhD Graduates

Yiwang Zhou

Some statistical learning methods for procuring individualized treatment rules in personalized healthcare (2017-2021)
Assistant Professor of Biostatistics at St Jude Children Research Hospital

Wei Hao

Some statistical methods for causal mediation pathway analysis (2015-2021)
Assistant Research Professor of Biostatistics, University of Michigan

Wen Wang

L0 constraint optimization, homogeneity fusion, and mediation analyses (2012-2020)
Postdoc at The University of Michigan Kidney Epidemiology and Cost Center

Lily Wangy (co-supervision)

Flexible methods for the analysis of clustered event data in observational studies (2016-2020)
Data Scientist at Google

Lan Luo

Renewable estimation and incremental inference with streaming health datasets (2016-2020)
Assistant Professor of Statistics, University of Iowa

Emily Hector

Distributed estimation and inference for the analysis of big biomedical data (2015-2020)
Assistant Professor of Statistics, North Carolina State University

Joseph Naiman

Functional regression and selection with applications in accelerometer data analysis (2015-2020)
Data Scientist at DTE Energy

Mathieu Bray

Advances in Methods, Algorithms, and Software for Optimization and Simulation of Kidney Paired Donation Programs (2012-2018)
Biostatistician at GlaxosmithKline

Lu Tang

Statistical Methods of Data Integration, Model Fusion, and Heterogeneity Detection in Big Biomedical Data Analysis (2013-2018)
Assistant Professor of Biostatistics at University of Pittsburgh

Wei Ding

Copula Regression Models for the Analysis of Correlated Data with Missing Values (2012-2015)
Data Scientist at Google Inc.

Yan Zhou

Statistical Methods for High-Dimensional Networked Data Analysis (2010-2014)
Senior Scientist at Gilead Sciences

Peisong Han (Co-supervision)

Empirical Likelihood Approach to Statistical Analysis with Missing Data (2009-2013)
Assistant Professor of Biostatistics at University of Michigan

Yijiang Li (Co-supervision)

Optimization and Simulation of Kidney Paired Donation Programs (2010-2012)
Prinicipal Data Scientist at Splunk

Youna Hu (Co-supervision)

Analysis of Genomic Sequencing Data (2010-2012)
Data Sciences Engineer at A9.com

Fei Wang (Co-supervision)

Statistical Issues in Merging Longitudinal Data (2009-2012)
Senior Data Scientist at Ford Motor Company

Yun Bai

Composite Estimating Functions and Applications in Spatio-Temperal Data (2008-2011)
Senior Risk Specialist at Federal Reserve Bank of San Francisco

Bin Zhu (Co-supervision)

Stochastic Dynamic Models for Functional Data (2008-2010)
NCI Principle Investigator

Post Doctoral

Kat Hoffman

Research Biostatistician at Weill Cornell Medicine

Christina Zhou

PhD Student at University of North Carolina, Chapel Hill