Song Lab

Department of Biostatistics



Peter X.K. Song, Ph.D.

Professor of Biostatistics
Tel: (734) 764 9328

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.

Current Members

PhD Students

Mengtong Hu (Co-supervision)

PhD Candidate

Yiyuan Huang

PhD Candidate

Ritoban Kundu

PhD Candidate

Rui Nie

PhD Student

Soumik Parkayastha

PhD Candidate

Bo Yang

PhD Student

Leyao Zhang

PhD Candidate

Yahui Zhang

PhD Student

Post Doctoral

Canyi Chen

Post Doctoral Research Fellow

Zheshi Zheng

Post Doctoral Research Fellow

Past Members

PhD Graduates

Margaret Banker

Functional Data Analysis Methods for Analyzing Accelerometry Data in Mobile Health (2017-2023)
Assistant Professor of Biostatistics at Northwestern Feinberg School of Medicine

Lap Sum Chan

Statistical Methods for Multi-omics Data in Observational Studies (2018-2023)
Postdoc at The University of Minnesota School of Public Health

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 Wang (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 Biotatistics, Rutgers University

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)
Principal Statistician (Research Statistics) 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)
Gilead Sciences

Yijiang Li (Co-supervision)

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

Youna Hu (Co-supervision)

Analysis of Genomic Sequencing Data (2010-2012)
Data Sciences Engineer at Amazon

Fei Wang (Co-supervision)

Statistical Issues in Merging Longitudinal Data (2009-2012)
Data Scientist at Tencent

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

Elyas Sabeti (Co-supervision)

Anomaly detection using pattern dictionary (2018-2020)
Data scientist at Generla Motor, USA

Xichen She

Integrating multimodality data to enhannce transfer learning (2017-2019)
Data scientist at Integrative.AI, Toronto

Ling Zhou

Scalable inference with big data in Hadoop (2015-2018)
Professor at Center for Statistical Research, Southwestern University of Finance and Econonmics

Jonggyu Baek

Association analysis of growth patterns and physical activities with exposure to toxicants (2016-2017)
Assistant Professor at UMass Medical School

Yanhua Chen

Optmial Graphical Algorithm in Paired Kidney Exchanges (2010-2012)
Data Scientist at UM Hospital
MSc Graduates

Kat Hoffman

Research Biostatistician at Weill Cornell Medicine

Christina Zhou

PhD Student at University of North Carolina, Chapel Hill

Visiting Scholars Hosted by the Lab


Prof. Su Chen

University of Nebraska Medical Center

Prof. Shan Luo

Department of Mathematics, Shanghai Jiao Tong University, China

Prof. Yanqing Yi

Faculty of Medicine, Memorial University of Newfoundland, Canada

Prof. Chun Dong

School of Statistics, Southwestern University of Finance and Economics, China

Prof. Xuewen Lu

Department of Mathematics and Statistics, University of Calgary, Canada

This page was last modified on: 10/26/2023

Questions or comments with the site? Contact the maintainer (Bo Yang).