BayesRx Group

We are a group of biostatisticians and data scientists, working at the intersection of statistics, biology and medicine. Our research explores the potential of Bayesian probabilistic models and machine learning methods to assist in medical and health sciences. These methods are motivated by large and complex datasets such as high-throughput genomics, epigenomics, transcriptomics and proteomics as well as high-resolution neuro- and cancer- imaging. A special focus is on developing integrative models combining different sources of data for biomarker discovery and clinical prediction to aid precision/translational medicine.

Team

Post-doctoral Fellow

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Shariq Mohammed

Bayesian Inference, Variable Selection, Bayesian Machine Learning, Applications in Neuro- and Cancer-Imaging, Precision Health

PhD Students

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Rupam Bhattacharyya

Regression Modelling, Bayesian Statistics, Statistical Genetics, Precision Medicine

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Tsung-Hung Yao

Diffusion Tree Modeling, Bayesian Nonparametric Statistics, Precision Medicine

Alumni

  • Postdoctoral Researchers

    • David Rossell Ribera, 2006-2007, (with Valen E. Johnson)
      • Current position: Assistant Professor, Dept of Statistics, University of Warwick
    • Suprateek Kundu, 2012-2014, (with Bani K Mallick)
      • Current position: Assistant Professor, Dept. of Biostatistics, Emory University
    • Wenting Wang, 2010 - 2013 (with Kim-Ahn Do)
      • Current position: Biostatistician, Biogen Inc.
    • Lin Zhang, 2012-present (joint with Jeff Morris)
      • Current position: Assistant Professor, Dept. of Biostatistics, University of Minnesota
    • Bruce Bugbee, 2014 – 2015 (with Jeffrey S. Morris)
      • Current position: Computational Statistician, National Renewable Energy Laboratory, Colorado
    • Sayantan Banerjee, 2014 – 2016
      • Current position: Assistant Professor, Indian Institute of Management, Indore.
    • Min Jin Ha, 2013 – 2016
      • Current position: Assistant Professor of Biostatistics, UT MD Anderson Cancer Center.
    • Arnab Kumar Maity 2016 – 2019
      • Current Position: Associate Director, Pfizer.
    • Priyam Das, 2017 – 2019
      • Current Position: Research Fellow, Harvard University (from Fall 2019)
    • Hojin Yang, 2016 – 2019
      • Current Position: Assistant Professor, University of Nevada (from Fall 2019)
    • Abhishek Saha 2016 – 2019
      • Current Position: Research Fellow, National Institutes of Health (from Fall 2019)
  • Ph.D. Students (as primary advisor/co-advisor)

    • Rajesh Talluri (Ph.D. 2011) Texas A&M University
      • Current position: Assistant Professor of Data Science, University of Mississippi
    • Lin Zhang (Phd 2012) Texas A&M University, Winner of SBSS best paper award 2012
      • Current position: Assistant Professor, Dept. of Biostatistics, University of Minnesota
    • Yang Ni (Phd 2015), Rice University (joint with Francesco Stingo), Winner of Laplace Award 2014; Boyd Harshbarger Travel Award; Jiann-Ping Hsu Pharmaceutical and Regulatory Sciences Award; Young Investigator Travel Award, G70 Conference
      • Current position: Post-doctoral Fellow, UT Austin.
    • Shabnam Azadeh (Phd 2015) UT School of Public Health (with Brian P Hobbs)
      • Current position: FDA Selected for RSNA Oral Presentation
    • Elizabeth Jennings (PhD, 2015) Texas A&M University (with Jeffrey S Morris and Raymond J. Carroll).
      • Current position: Assistant Professor, US Naval Academy.
    • Soyeon Kim (Phd, 2015), Rice University (with J Jack Lee)
      • Current position: Post-doctoral Fellow, University of Texas Winner of ASA Statistics and Data Mining Student Paper Competition
    • Katherine Shoemaker (2015-2017), Rice University (with B. P. Hobbs) Winner of PSB Student Travel Award
    • Youyi Zhang (PhD, 2018) GSBS (with J. S. Morris) Winner of ASA Statistics in Imaging Student Paper Competition
    • Yabo Niu (current), Texas A&M University (with Bani Mallick)
    • Neel Desai (current), Rice University (with J.S. Morris)

Softwares

Most of our softwares are available on our github site:

https://github.com/umich-biostatistics

https://github.com/bayesrx


Here are some links to some Shiny Apps we have developed:

  1. PRECISE (Ha et al, 2018, Nature Scientific Reports): https://mjha.shinyapps.io/PRECISE/
  2. Bayesian Graphical Regression (Ni et al, 2018, JASA): https://nystat.shinyapps.io/MMCR-app/
  3. BEHAVIOUR (Ni et al, 2019, JASA): https://www.stat.tamu.edu/~yni/behavior.html

Teaching

  • BIOS 651 Introduction to Generalized Linear Regression

Position

We are recruiting a post-doc fellowship position. Please send us your resume to me, if you are interested in our work.

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