Students

Current students

Jonathan Boss
 jonaboss@umich.edu
My methods work primarily focuses on multi-pollutant modeling, non-linear interaction selection in the presence of many environmental contaminants, and statistical inference when exposure data are subject to multiple detection limits. I have a number of applied collaborations in environmental statistics ranging from amyotrophic lateral sclerosis, racial disparities in telomere length, and gestational duration in pregnant women.

Dylan Clark-Boucher
 clarkbou@umich.edu
My interest is in the development of statistical and machine learning methods for studying various epidemiologic problems, including infectious disease modeling, gene-by-environment interaction, mediation analysis, and many others. My recent work has centered on modeling COVID-19 outcomes, constructing polygenic risk scores for cardiovascular risk factors, and developing methods for high-dimensional mediation studies.

Jiacong Du 
 jiacong@umich.edu
I'm currently working on modeling and optimization for variable selection with missing data, and median analysis in high-dimentional data. My current project is to identify environmental pollutants associated with amyotrophic lateral sclerosis disease.

Ritoban Kundu
 kundur@umich.edu
My current interest is in Electronic Health Records, Causal Inference, Statistical Networks and Infectious disease modelling. My most recent work is based on developing an extended version of the SEIR model to incorporate False Negative Rate of RT-PCR test and selection bias of testing for Covid.

Emily Roberts
 ekrobe@umich.edu
Currently, I am interested in causal inference and survival analysis methods. I work on methods to statistically validate biomarkers as surrogate endpoints for clinical trials. I began my research in the department on the NIH Training Grant for Cancer Research currently a National Science Foundation Graduate Research Fellow.

Stephen Salerno
 salernos@umich.edu
My research centers on clinical quality measure development for public reporting, latent variable methods, conditional graphical models, and joint estimation for high-dimensional and mixed-type data. In the Kidney Epidemiology and Cost Center, I work on methods related to the Dialysis Facility Compare (DFC) Clinical Quality of Care Star Rating. I am also passionate about data for good initiatives at the University of Michigan such as Statistics in the Community(STATCOM).

Youfei Yu
 youfeiyu@umich.edu
My current research focuses on causal inference for censored data. I'm working on a number of projects including evaluating the effect of treatments for metastatic prostate cancer using insurance claims data.

Zhangchen Zhao
 zczhao@umich.edu
I am interested in the environmental risk score and already published one paper titled "Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES" in Environmental Health. Currently, I am working on the joint model of latent class analysis.

Lauren Zimmermann
 lzimm@umich.edu
My current research focus is on infectious disease attributed mortality estimation in low and moderate resource settings. Another interest of mine is the application area of psychiatric epidemiology using data from electronic health records, and in relation to collaborative care models.

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Former Students

Zhongsheng Chen
 zhongshc@umich.edu
My current research focus is on infectious disease attributed mortality estimation in low and moderate resource settings. Another interest of mine is the application area of psychiatric epidemiology using data from electronic health records, and in relation to collaborative care models.

Tian Gu
 gutian@umich.edu
I am passionate in utilizing data integration techniques to improve the precision and efficiency of disease risk prediction. As my PhD thesis, I am developing efficient statistical tools to incorporate external information from big health science data into internal studies.

Andrew Guide
 guidean@umich.edu
Currently, I am working on quantifying gene-environment interactions on the prevalence of cancer. I would like to see which measures of risk associations are the most informative on providing the most accurate quantification of the relationship between gene-environment interaction and the prevalence of disease.

Ryan Ross
 rydaro@umich.edu
I am interested in causal inference methods and their applications to cancer epidemiology. My work on analysis of subpopulation causal effects helps bridge the gap between traditional population causal inference and individualized inference of cancer treatment.

Yanyi Song
 yanys@umich.edu
I currently work on developing high-dimensional Bayesian mediation analysis methods with application to omics data. I am also interested in developing analytical approaches to extract information from large-scale data, with the hope to advance our understanding of the molecular mechanism of human diseases.