***updates in progress****

  • Yu Shyr, PhD, FASA, FAAAS

    Chair, Department of Biostatistics
    Harold L. Moses Chair in Cancer Research
    Director, Vanderbilt Center for Quantitative Sciences (CQS)
    Director, Vanderbilt Technologies for Advanced Genomics Analysis and Research Design (VANGARD)
    Professor of Biostatistics, Biomedical Informatics, and Health Policy

    PhD, Biostatistics, University of Michigan

    Research interests include: statistical and bioinformatic methodology, next-generation sequencing data, adaptive clinical trials, longitudinal binary data; cancer biology, epidemiology, genetics, and bioinformatics; proteomics; survival analysis; teaching biostatistics

    Honors and service include: Fellow, American Statistical Association (elected 2010); fellow, American Association for the Advancement of Science (elected 2016); associate editor for statistics, JAMA Oncology (since 2015)

    More information: biostat.app.vumc.org/YuShyr 

     

  • Gustavo Amorim, PhD

    Research Assistant Professor of Biostatistics

    PhD, Statistics, University of Auckland, New Zealand

    Research interests include: developing novel statistical methods for problems arising in public health studies; developing semiparametric models that are flexible and robust to model misspecification; two-phase designs; measurement-error problems; ordinal data analysis

  • Amir Asiaeetaheri, PhD

    Assistant Professor of Biostatistics

    PhD, Computer Science, University of Minnesota

    Research interests include: bioinformatics, causal inference, cancer genomics, computational biology, data science, high-dimensional statistics, machine learning

    More information: amirasiaee.com

  • Dan Ayers, MS

    Senior Associate in Biostatistics

    MS, Applied Statistics, Louisiana State University

    Research interests include: statistical evidence, effective statistical collaboration, clinical trial methodology

    More information: biostat.app.vumc.org/DanAyers

  • Lynne Berry, PhD

    Vice Chair of Informatics & Collaborative Programs, Department of Biostatistics
    Deputy Director, Center for Quantitative Sciences
    Research Assistant Professor of Biostatistics

    PhD, Cell Biology, Vanderbilt University

    Responsibilities include: working with the software development team at the Center for Quantitative Sciences, overseeing and directing individual projects as well as the entire group.

     

  • Daniel W. Byrne, MS

    Director of Artificial Intelligence Research, Advanced Vanderbilt Artificial Intelligence Laboratory (AVAIL)
    Senior Associate in Biostatistics and Biomedical Informatics
    Project Leader, Cornelius

    MS, Biostatistics, New York Medical College

    Research interests include: clinical epidemiology, worksite wellness/productivity, outcomes, health services, clinical pharmacology, efficiency in clinical and translational research, predicting and preventing complications

    More information: biostat.app.vumc.org/DanielByrne

  • Heidi Chen, PhD

    Research Associate Professor of Biostatistics

    PhD, Biomathematics, North Carolina State University

    Research interests include: survival analysis, mixed model and longitudinal data analysis, two-stage adaptive design for phase II clinical trials, model/process validation for high-dimensional data

    More information: biostat.app.vumc.org/HeidiChen

  • Qingxia (Cindy) Chen, PhD

    Director, Biostatistics Post-Graduate Studies
    Director, Executive Masters in Health Data Science
    Associate Professor of Biostatistics

    PhD, Biostatistics, University of North Carolina at Chapel Hill

    Research interests include: missing data, survival analysis (especially time-varying effect and treatment switching), Bayesian methods in big data, penalized approach for 1<n/p<10, developing statistical methods for using electronic health records (EHRs) and genetics information in precision medicine, cancer, ophthalmology, infection disease, cardiovascular diseases, suicide

    More information: http://biostat.app.vumc.org/QingxiaChen

  • Leena Choi, PhD

    Vice Chair of Diversity and Inclusion, Department of Biostatistics
    Professor of Biostatistics

    PhD, Biostatistics, Johns Hopkins University

    Research interests include: constructing a system for pharmacokinetics, pharmacodynamics, and pharmacogenomics studies using electronic health records (EHRs), which would provide the foundation for dose-optimization support system for precision medicine; developing medication dosing extraction algorithms from EHRs, which would also benefit medication-related studies in pharmacoepidemiology

    More information: biostat.app.vumc.org/LeenaChoi

     

  • Mario Davidson, PhD

    Director for Classroom Peer Reviews, Educator Development Program (EDP)
    Assistant Professor of Biostatistics

    PhD, statistics/mathematics education, The Ohio State University

    Research interests include: medical education assessment; research and statistical collaboration; questionnaire design; regression modeling; statistical consulting; statistics and mathematics education; mixed methodology; the statistics and mathematics achievement gap

    More information: biostat.app.vumc.org/MarioDavidson

     

  • Liping Du, PhD

    Assistant in Biostatistics

    PhD, chemical engineering, Vanderbilt University

    Responsibilities include: collaborating with basic science and clinical research scientists in different fields, focusing on writing statistical analysis plan for grant applications and helping them with experimental designs, analyzing statistical data, interpreting results, and preparing manuscripts. She also works on clinical trial reporting at ClinicalTrials.gov for Vanderbilt-Ingram Cancer Center (VICC), performs data analysis for epidemiology studies and high-dimensional proteomic/genomic/metabolomics research, and collaborates with Peabody at Vanderbilt on education-related statistical data analysis.

  • William D. Dupont, PhD, FASA

    Director of Mentoring, Department of Biostatistics
    Director, Nashville Breast Cohort Study
    Professor of Biostatistics

    PhD, biostatistics, Johns Hopkins Universit

    Research interests include: epidemiology, breast disease, cancer, genetics, hormonal replacement therapy, screening, power and sample calculations, data management, data quality assurance, clinical trials, stopping rules, foundations of statistical inference, likelihood methods

    Selected honors: Fellow, American Statistical Association (elected 2009); Ernest W. Goodpasture Award for Groundbreaking Research, 2003

    More information: biostat.app.vumc.org/WilliamDupont

  • Svetlana Eden, PhD

    Research Assistant Professor of Biostatistics

    PhD, biostatistics, Vanderbilt University

    Research interests include: developing semi- and nonparametric methods of estimating correlation in survival data; causal inference methods (specifically Mendelian Randomization analysis); risk factors in veterans; survival analysis; rank association measures; Bayesian modeling 

    More information: https://svetlanaeden.github.io/

  • Benjamin French, PhD

    Associate Professor of Biostatistics

    PhD, biostatistics, University of Washington

    Research interests include: statistical analysis methods for longitudinal and survival data, with scientific focus on estimation of exposure-outcome associations or evaluation of prediction accuracy; cardiovascular disease; cancer epidemiology; health economics

  • Shawn Garbett, MS

    Director, Informatics Software Development
    Assistant in Biostatistics

    MS, statistics, Pennsylvania State University

    Research interests include: applying computational and numerical skills to modeling complex data, rational integration of genomic healthcare testing (RIGHT), reproducible manuscripts

    More information: http://biostat.app.vumc.org/wiki/Main/ShawnGarbett

  • Cheryl Gatto, PhD, PMP

    Research Assistant Professor
    Associate Director at Vanderbilt Institute for Clinical and Translational Research (VICTR)

    PhD, cell biology, University of Massachusetts Medical School

     

  • Tebeb Gebretsadik, MPH

    Senior Associate in Biostatistics

    MPH, University of California, Berkeley

    Research interests include: clinical asthma research (adult and pediatric), infectious disease/global health, rheumatology/immunology, statistical methods in epidemiology, predictive modeling, analysis of electronic health records, multidimensional data, observational studies, causal inference studies, maternal and environmental influences on pediatric respiratory health, teaching biostatistics, clinical pharmacology, HIV and AIDS, cancer, clinical trials, diabetes

  • Robert Greevy, PhD

    Director, Biostatistics Graduate Studies
    Director, Health Services Research Biostatistics
    Associate Professor of Biostatistics

    PhD, Statistics, University of Pennsylvania

    Research interests include: restricted randomization methods and sample size adaptive randomization for clinical trials, inverse probability weighted and doubly robust estimators, sensitivity analyses for unmeasured confounding, foundational tools for better statistical inference, comparative effectiveness of anti-hyperglycemic medications in an EHR derived cohort of 400 thousand veterans with type 2 diabetes, effects of acute kidney injury in an EHR derived cohort of 17 million veterans, randomized controlled trials for smoking cessation and for diabetes management

    More information: biostat.app.vumc.org/RobertGreevy

  • Amber J. Hackstadt, PhD

    Assistant Professor of Biostatistics

    PhD, Statistics, Colorado State University

    Research interests include: health service research, public health research, diabetes, environmental biostatistics, causal inference, Bayesian inference, regression splines, semi parametric estimation

    Honors and service include: Data safety and monitoring board member, Preliminary Investigation of optimaL Oxygen Targets (PILOT) trial; graduate program and staff promotions committees

    More information: biostat.app.vumc.org/AmberHackstadt

  • Frank E Harrell, Jr., PhD

    Professor of Biostatistics

    Dr. Harrell received his PhD in Biostatistics from UNC in 1979. Since 2003 he has been Professor of Biostatistics, Vanderbilt University School of Medicine, and was the department chairman from 2003-2017. He is Expert Statistial Advisor for the Office of Biostatistics for FDA CDER. He is Associate Editor of Statistics in Medicine, a member of the Scientific Advisory Board for Science Translational Medicine, a member of the Faculty of 1000 Medicine, and a member of the policy advisory board for the Journal of Clinical Epidemiology. He is a Fellow of the American Statistical Association and winner of the Association's WJ Dixon Award for Excellence in Statistical Consulting for 2014. He was the 2017 Visionary Speaker, Clinical Studies Coordinating Center, University of North Carolina Department of Biostatistics. His specialties are development of accurate prognostic and diagnostic models, model validation, clinical trials, observational clinical research, cardiovascular research, technology evaluation, pharmaceutical safety, Bayesian methods, quantifying predictive accuracy, missing data imputation, and statistical graphics and reporting.

  • Shi Huang, PhD

    Assistant in Biostatistics

    Dr. Huang specializes in latent variable modeling, confirmatory factor analysis (CFA), structural equation modeling (SEM) and mediation analysis. He also has expertise in longitudinal data analysis, hierarchical linear models. He is proficient with Mplus statistical software.

    Dr. Huang’s interests include the application of advanced statistical methodology for prevention research on substance use and HIV risk behavior. Dr. Huang has served on a number of NIH and CDC-funded studies focused on substance abuse and HIV prevention (totally approximately $10 million).

  • Robert (Bob) E Johnson, PhD

    Associate Professor of Biostatistics

    Bob Johnson is a part-time (semi-retired) faculty member whose primary role is teaching and serving on students’ graduate committees. He previously collaborated with primary care researchers with focus on cluster randomized trials and continues in an advisory role.

  • Hakmook Kang, PhD

    Associate Professor of Biostatistics

    Dr. Kang's research interests include spatio-temporal modeling, multiple testing problems, and their applications to imaging data, in particular, fMRI data. He is also interested in multi-modal imaging data analysis, e.g., fMRI and DTI.

  • Tatsuki Koyama, PhD

    Associate Professor of Biostatistics

    PhD, Statistics, University of Pittsburgh

    Research interests include: group sequential methods; two-stage adaptive procedures (phase II / phase III); noninferiority / superiority / equivalence trials; statistics in basic science; statistical graphics; p value, confidence interval, unbiased estimate from a Simon's two-stage procedure

    Honors and service include: Patrick G. Arbogast Collaborative Publication Awards (2014 and 2017); treasurer, American Statistical Association, Middle Tennessee Chapter

    More information: biostat.app.vumc.org/TatsukiKoyama

  • Christopher John Lindsell, PhD

    Professor of Biostatistics and Biomedical Informatics
    Director, Vanderbilt Institute for Clinical and Translational Research (VICTR) Methods Program
    Co-director, Vanderbilt Health Data Science (HEADS) Center
    Associate Director, Center for Clinical Quality and Improvement Research

    Association for Clinical and Translational Science (ACTS) president, 2020 - 2021

    PhD, Epidemiology, University of Southampton

    http://biostat.app.vumc.org/ChrisLindsell

  • Dandan Liu, PhD

    Associate Professor

    Dr. Liu completed her doctoral degree in biostatistics at the University of Michigan and a postdoctoral fellowship at Fred Hutchinson Cancer Research Center, before joining the Department of Biostatistics as an Assistant Professor at Vanderbilt University. Dr. Liu serves as the faculty biostatistician for the Department of Emergency Medicine collaboration plan and the Vanderbilt Memory & Alzheimer’s Center. Her research interests are focused on biomarker evaluation, event history data analysis with application to cardiovascular disease, cancer and Alzheimer's disease. In addition, she is also working on developing statistical methods for risk prediction modeling and its practical implementation in electronical health records system.

  • Qi Liu, PhD

    Associate Professor

    Dr. Liu’s research focuses on integrating multi-omics data to address fundamental biological questions. Dr. Liu develops tools and algorithms to mine genomics, transcriptomics, epigenomics and single-cell data, finds the connection between different molecular layers, and bridges the gaps between vast amount of omics data and biology.

     

  • Hui Nian, PhD

    Assistant in Biostatistics

    Dr. Nian is a collaborative biostatistician with special interests in causal inference for multilevel treatments, Bayesian adaptive design for clinical trials and provider profiling.

  • Sharon E Phillips, MSPH

    Associate in Biostatistics
  • Rameela Chandrasekhar Raman, PhD

    Associate Professor of Biostatistics

    Dr. Raman’s research is motivated by real-world problems that need to be addressed with suitable statistical methods. She serves as a statistical collaborator for the Tennessee Department of Children’s Services, Vanderbilt Center for Critical Illness, Brain Dysfunction and Survivorship, and CDC's Emerging Infections Program, and she is a co-I on multiple NIH-funded studies. Her methodological research is mostly associated with challenges encountered in her collaborative work and includes health disparity measures, provider profiling, area under the time curve, and methods to address survivor/attrition bias. In addition, Dr. Raman co-instructs the statistics course for Doctorate in Nursing Practice students at the School of Nursing.

  • Lauren R Samuels, PhD

    Research Assistant Professor

    Lauren Samuels is a collaborative biostatistician who specializes in the design and analysis of observational studies in health services research. Her cohort selection app, Visual Pruner, is available at http://biostat.app.vumc.org/VisualPruner.

  • Jonathan S. Schildcrout, PhD, FASA

    Vice Chair for Research, Department of Biostatistics
    Professor of Biostatistics
  • Quanhu "Tiger" Sheng, PhD

    Assistant Professor

    Dr. Sheng is focusing on next generation sequencing data analysis, especially for RNAseq, DNAseq and miRNAseq data. He is also interested in bioinformatics in proteomics, glycomics and metabolimics, including algorithm development, data analysis and software implementation.

  • Bryan E. Shepherd, PhD, FASA

    Vice Chair of Faculty Affairs, Department of Biostatistics
    Professor of Biostatistics and Biomedical Informatics

    PhD, Biostatistics, University of Washington

    Research interests include: causal inference, observational data analysis, ordinal data analysis, applications in HIV and other infectious diseases, measurement error, global health

    Affiliate appointments include: Vanderbilt Institute for Global Health; Vanderbilt Tuberculosis Center

    Honors and service include: Fellow, American Statistical Association (elected 2018); associate editor, American Journal of Epidemiology (since 2016); associate editor, Biometrics (since 2018); director of the biostatistics and biomedical informations core of TN-CFAR (since 2015)

    More information: biostat.app.vumc.org/BryanShepherd

  • Matt Shotwell, PhD

    Associate Professor

    Dr. Shotwell is a collaborative statistician and biomedical researcher. His collaborative work includes topics in anesthesiology, geriatrics and quality aging, drug repurposing, and many others. Dr. Shotwell is also interested in the optimal design and statistical treatment of biomedical experiments, especially those incorporating "challenge-response" elements that are common, for example, in the study of pharmacokinetics and electrophysiology. Dr. Shotwell is active in mentoring graduate students, and has taught several courses offered by the Department of Biostatistics, including the 'Statistical Collaborations in Health Sciences' and 'Statistical Machine Learning' course.
     

  • James Christopher Slaughter, DrPH

    Associate Professor

    Chris Slaughter focuses on flexible Bayesian regression models for longitudinal data. He works closely with a variety of collaborators in Gastroenterology, Pediatrics, and Neonatology to advance medical and basic science research.

  • Derek K. Smith, DDS, PhD, MPH

    Assistant Professor of Biostatistics

    DDS, Indiana University; PhD, Biostatistics, Vanderbilt University; MPH, Dental Public Health, A. T. Still University of Health Sciences

    Research interests include:

    More information: biostat.app.vumc.org/DerekSmith

  • Andrew Spieker, PhD

    Assistant Professor of Biostatistics

    Andrew Spieker received his PhD in Biostatistics from the University of Washington, prior to completing a postdoctoral fellowship at the University of Pennsylvania. His research interests are primarily centered on the integration of causal inference methodology into fields such as pharmacoepidemiologic association studies, cost-effectiveness, and preliminary HIV vaccine trials. Other research interests include the proper design, conduct, analysis, and interpretation of clinical studies; methods to diagnose and monitor disease; and risk factor identification.

  • Thomas Stewart, PhD

    Assistant Professor of Biostatistics

    Thomas Stewart is a clinical educator and collaborative statistician. He teaches in both the MSCI and MPH programs. He has collaborated with a wide variety of researchers around the medical center, with substantial support for Nephrology and AHSQC. His area of statistical methods research is missing data, with a special focus on support vector machines.

  • Ran Tao, PhD

    Assistant Professor

    Ran Tao is interested in developing novel statistical methods to solve problems arising in the design and analysis of modern biomedical and public health studies, including genome-wide association studies, next-generation sequencing studies, and electronic health records systems. His current research topics include two-phase designs, complex survey sampling, rare-variant analysis, and risk gene prediction.

  • Simon Vandekar, PhD

    Assistant Professor of Biostatistics

    PhD, Biostatistics, University of Pennsylvania

    Research interests include: psychiatry, psychology, neuroimaging, ecology

    More information: simonvandekar.bitbucket.io

  • Jing Wang, PhD

    Research Assistant Professor
  • Yaomin Xu, PhD

    Assistant Professor
  • Fei Ye, PhD, MSPH

    Associate Professor of Biostatistics

    PhD, Biostatistics, University of South Carolina

    Research interests include: 

    • Multi-omics data analysis and biomarker discovery
    • Clinical trial design
    • Cancer research
    • Prediction model development and validation

    Honors and service include: Assistant editor for statistics, JAMA Oncology

    More information: http://biostat.app.vumc.org/FeiYe

  • Chang Yu, PhD

    Associate Professor

    Dr. Yu’s methodological research focuses on models for correlated binary data, mixture models, disease clustering, measurement error correction models, and statistical methods for genetics. Some of his works are cited in Univariate Discrete Distributions by Johnson, Kemp, and Kotz (3rd edition, 2005). Before joining Vanderbilt, Dr. Yu worked more than 5 years on clinical trials at Merck Research Laboratories in Rahway, NJ. He collaborates with investigators in clinical pharmacology, epidemiology, pulmonary, and Vanderbilt Institute for Clinical and Translational Research. He leads the Bayesian adaptive clinical trial design effort in the department.

  • Shilin Zhao, PhD

    Assistant Professor

    Dr. Zhao's research interest is in developing tools with statistical methods to solve problems in next generation sequencing data analysis. He has developed tools in Rna-Seq sample size estimation, DNA-Seq and RNA-Seq data quality control. He is also interested in different kinds of high-dimensional data researches, including transcriptomics, genomics, and proteomics data analysis and integrating.

  • Yuwei Zhu, MS, MD

    Senior Associate in Biostatistics

    MD, Shanghai Medical University; MS, Biometry, University of Texas Health Science Center

    Research interests include: influenza vaccine effectiveness, disease burden analysis, studies with EHR-based prognostic decision support

    More information: http://biostat.app.vumc.org/wiki/Main/YuweiZhu