Current PhD Advisees   Former PhD Advisees   Former Postdoctoral Advisees   Former Master Advisees

Current PhD Advisees


Qingmeng Li

    Qinmengge Li

  • Joint with Zhi (Kevin) He, University of Michigan, 2021 -- present
  • Topic: Discrete survival analysis with subgroup detection
  • ENAR 2023 Distinguished Student Paper Award

Bangyao Zhao

    Bangyao Zhao

  • University of Michigan, 2022 -- present
  • Topic: Bayesian Machine Learning methods for Brain-Computer Interfaces
  • JSM 2023, Student Paper Award, Biometrics Section

Yuan Zhong

    Yuan Zhong

  • University of Michigan, 2023 -- present
  • Topic: Bayesian Deep Learning Methods for Imaging Data Analysis
  • JSM 2024, Student Paper Award, Statistics in Image Section

Guoxuan Ma

    Guoxuan Ma

  • University of Michigan, 2023 -- present
  • Topic: Bayesian Methods for Network Analysis
  • JSM 2023, Student Paper Award, Statistics in Imaging Section

Ziyu Liu

    Ziyu Liu

  • Joint with Timothy Johnson, University of Michigan, 2023 -- present
  • Topic: Scalable Bayesian image-on-image regression

Ralph Jiang

    Ralph Jiang

  • Joint with Hui Jiang, University of Michigan, 2023 -- present
  • Topic: Homogeneity pursuit in image regression models

Yuting Duan

    Yuting Duan

  • Joint with Hui Jiang, University of Michigan, 2024 -- present
  • Topic: Homogeneity pursuit in image regression models

Grant Carr

    Grant Carr

  • Joint with Veera Baladandayuthapani, University of Michigan, 2025 -- present
  • Topic: New Statistical Methods for Multiplexing Imaging

Longhao Pang

    Longhao Pang

  • University of Michigan, 2025 -- present
  • Topic: Functional connectivity modeling in brain computer interfaces






Former PhD Advisees


Jonathan Boss

    Jonathan Boss

  • Joint with Bhramar Mukherjee, University of Michigan, 2019 -- 2024
  • Topic: Bayesian group shrinkage for high-dimensional regression and mediation models
  • ENAR 2021 Distinguished Student Paper Award
  • Current Position: Statistician at Eli Lilly

Simon Fontaine

    Simon Fontaine

  • Joint with Ji Zhu, University of Michigan, 2021 -- 2024
  • Topic: Statistical Methods for Dependent Data
  • Current Position: Postdoc Researcher, Penn State University

Moyan Li

    Moyan Li

  • University of Michigan, 2020 -- 2024
  • Topic: Statistical Inference for large-scale and complex data via Gaussian Process
  • Current Position: Applied Scientist at Amazon

Yijun Li

    Yijun Li

  • Joint with Lana Garmire, University of Michigan, 2021 -- 2024
  • Topic: Network manifold learning and spatial transcriptomics
  • Young Statistician’s Showcase Award at the 32nd International Biometric Conference
  • Current Position: Postdoc Researcher at Harvard University

Zikai Lin

    Zikai Lin

  • Joint with Yajuan Si, University of Michigan, 2021 -- 2024
  • Topic: Latent subgroup detection in image-on-scalar regression
  • ENAR 2022 Distinguished Student Paper Award
  • Current Position: Machine Learning Engineer at TikTok, San Jose

Nate Osher

    Nathaniel Osher

  • Joint with Veera Baladandayuthapani, University of Michigan, 2021 -- 2024
  • Topic: Quantitative histopathological image analysis
  • JSM 2024 JSM Student Paper Award, Statistics in Genomics and Genetics Section
  • Current Position: Statistician at Servier, Boston

Yuliang Xu

    Yuliang Xu

  • University of Michigan, 2019 -- 2024
  • Topic: Bayesian spatial mediation analysis with applications to neuroimaging
  • JSM 2022 Student Paper Award, Section on Bayesian Statistical Science
  • Current Position: Postdoc Researcher at Duke University

Yuming Sun

    Yuming Sun

  • Joint with Yi Li, University of Michigan, 2018 -- 2023
  • Topic: Interpretable neural network regression with biomedical applications
  • JSM 2021 Student Paper Award, Risk Analysis Section
  • Current Position: Assistant Professor at the College of William & Mary

Tianwen Ma

    Tianwen Ma

  • University of Michigan, 2018 -- 2022
  • Topic: Statistical methods for brain computer interfaces
  • Current Position: Research Assistant Professor at Emory University

Andrew Whiteman

    Andrew Whiteman

  • Joint with Timothy Johnson, University of Michigan, 2017 -- 2022
  • Topic: Bayesian analysis of neuroimage data using Gaussian process priors
  • Current Position: Senior Research Scientist at Gilead Sciences

Emily Morris

    Emily Morris

  • University of Michigan, 2017 -- 2021
  • Topic: Statistical methods for evaluating functional brain connectivity
  • ENAR 2018 Regional Advisory Board Poster Award
  • MSSISS 2018 Best Biostatistics Student Poster
  • Current Position: Statistian at FDA

David Zhang

    Daiwei (David) Zhang

  • Joint with Shawn Lee, University of Michigan, 2017 -- 2021
  • Topic: Deep neural networks for complex biomedical data analysis
  • ENAR 2021 Distinguished student paper award
  • Current Position: Assistant Professor at University of North Carolina Chapel Hill

Yuan Yang

    Yuan Yang

  • Joint with Yi Li, University of Michigan, 2016 -- 2020
  • Dissertation: Novel methods for estimation and inference in varying coefficient models
  • ENAR 2019 Distinguished student paper award
  • Current position: Biostatistician II at Parexel, Austin

Cui Guo

    Cui Guo

  • Joint with Timothy Johnson, University of Michigan, 2015 -- 2019
  • Dissertation: Spatial Bayesian modeling and computation with application to neuroimaging data
  • Current position: Data Scientist at Liberty Mutual Insurance


Qingpo Cai

    Qingpo Cai

  • Joint with Tianwei Yu, Emory University, 2013 -- 2018
  • Dissertation: Statistical methods for biomedical network data
  • JSM 2017 David P. Byar Young Investigator Travel Award, Biometrics Section
  • Current Position: Senior Data & Applied Scientist at Microsoft

Qing He

    Qing He

  • Joint with Tianwei Yu, Emory University, 2011 -- 2017
  • Dissertation: Machine learning methods in large scale neuroimaging study
  • Current Position: Research Scientist at Samsung

Caprichia Jeffers

    Caprichia Jeffers

  • Joint with Howard Chang, Emory University, 2012 -- 2017
  • Dissertation: Statistical methods for correlated count data
  • Current Position: Data Scientist at JPMorgan Chase Co

Zhuxuan Jin

    Zhuxuan (Nancy) Jin

  • Joint with Tianwei Yu, Emory University, 2013 -- 2017
  • Dissertation: Statistical methods for omics data integration
  • Current Position: Lead Data Scientist at Cisco Meraki

Ran Shi

    Ran Shi

  • Joint with Ying Guo, Emory University, 2011 -- 2016
  • Dissertation: Statistical methods for correlated count data
  • JSM 2015 Student Paper Award, Section on Bayesian Statistical Science
  • ENAR 2016 Distinguished student paper award
  • Current Position: Assistant Professor of Finance, University of Colorado Boulder

Qian An

    Qian An

  • Joint with Michael Haber, Emory University, 2010 -- 2014
  • Dissertation: Models for statistical analyses of infectious disease data
  • Current Position: Senior Statistician at CDC

Yize Zhao

    Yize Zhao

  • Joint with Qi Long, Emory University, 2010 -- 2014
  • Dissertation: Bayesian feature selection methods for complex biomedical data
  • JSM 2014 Student Paper Award, Section on Statistical Learning and Data Mining
  • JSM 2013 Student Paper Award, Section on Bayesian Statistical Science
  • Current Position: Associate Professor of Biostatistics at Yale University





Former Postdoctoral Advisees


Junsouk Choi

    Junsouk Choi

  • Joint with Veera Baladandayuthapani, University of Michigan, 2023 -- 2025
  • Topic: Latent Spatial Dirichlet Allocation for Cancer Imaging
  • Current Position: Assistant Professor, Korea University, Seoul, South Korea

Fei Zhou

    Fei Zhou, PhD

  • University of Michigan, 2022 -- 2023
  • Topic: Bayesian analysis of metabolomics data
  • Current Position: Manager, Statistics, AbbVie, New York

Ben Wu

    Ben Wu

  • Joint with Ying Guo, Emory University & University of Michigan, 2018 -- 2020
  • Topic: Bayesian spatial latent source seperation
  • Current Position: Associate Professor at Renmin University of China

Jie He

    Jie He

  • University of Michigan, 2018 -- 2020
  • Topic: Prior knowledge guided ultrahigh dimensional variable screening
  • Current Position: Associate Professor at Nanjing University of Aeronautics and Astronautics

Ran Shi

    Subhadip Pal

  • Joint with Ying Guo, Emory University, 2016 -- 2017
  • Topic: Distributional independent component analysis
  • Current Position: Associate Professor at United Arab Emirates University





Former Master Advisees


Kexin Qu

    Kexin Qu

  • Emory University, 2013 -- 2015
  • Topic: Efficient classification for ultra high dimensional variable selection
  • Current Position: PhD Candidate in Biostatistics at Brown University

Qian An

    Tianyu Ding

  • Emory University, 2013 -- 2015
  • Topic: Spatial Bayesian model selection with nonlocal prior
  • Current Position: Data Scientist at Anthem