Current PhD Advisees

Former PhD Advisees   Former Postdoctoral Advisees   Former Master Advisees

Current PhD Advisees


Jonathan Boss

    Jonathan Boss

  • Joint with Bhramar Mukherjee, University of Michigan, 2019 -- present
  • Research topic: Bayesian sparse regression with shrinkage priors
  • ENAR 2021 Distinguished Student Paper Award

Tianwen
            Ma

    Tianwen Ma

  • University of Michigan, 2018 -- present
  • Research topic: Statistical methods for brain computer interfaces

Emily
            Morris

    Emily Morris

  • University of Michigan, 2017 -- present
  • Research topic: Statistical methods for evaluating functional brain connectivity
  • ENAR 2018 Regional Advisory Board Poster Award
  • MSSISS 2018 Best Biostatistics Student Poster

Yuming
            Sun

    Yuming Sun

  • Joint with Yi Li, University of Michigan, 2018 -- present
  • Research topic: Interpretable neural network regression with biomedical applications

Andrew Whiteman

    Andrew Whiteman

  • Joint with Timothy Johnson, University of Michigan, 2017 -- present
  • Research topic: Bayesian analysis of neuroimage data using Gaussian process priors

Yuliang
            Xu

    Yuliang Xu

  • University of Michigan, 2019 -- present
  • Research topic: Bayesian spatial mediation analysis with applications to neuroimaging

David
            Zhang

    Daiwei (David) Zhang

  • Joint with Shawn Lee, University of Michigan, 2017 -- present
  • Research topic: Deep neural networks for complex biomedical data analysis
  • ENAR 2021 Distinguished student paper award





Former PhD Advisees


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

Qingpo Cai

    Qingpo Cai

  • Joint with Tianwei Yu, Emory Uiversity, 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

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

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: Data Scientist at Splunk

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: PhD Candidate in Finance at LSE, UK

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

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: Tenure Track Assistant Professor of Biostatistics at Yale University





Former Postdoctoral Advisees


Ran  Shi

    Subhadip Pal

  • Joint with Ying Guo, Emory University, 2016 -- 2017
  • Research Topic: Distributional independent component analysis
  • Current Position: Tenure Track Assistant Professor at the University of Louisville

Ben Wu

    Ben Wu

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

Ran Shi

    Jie He

  • University of Michigan, 2018 -- 2020
  • Research Topic: Prior knowledge guided ultrahigh dimensional variable screening
  • Current Position: Research associate at Peking University, Beijing, China





Former Master Advisees


Kexin Qu

    Kexin Qu

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