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Aihua Bian
Principal BiostatisticianMPH, University of Texas Southwestern
Research interests include: time-to-event analysis, clinical trials, competing risk event analysis, categorical data analysis, repeated measurements analysis, observational studies
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Caroline Birdrow
BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaboration: the Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center
Research interests include: causal inference, semiparametric g-computation, observational longitudinal data analysis
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Josh DeClercq
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaborations: Vanderbilt Specialty Pharmacy; Department of Physical Medicine and Rehabilitation
Current projects include: developing a standard measure of medication adherence and a clinical trial for rotator cuff tear treatment
Winner of the 2020 Linda Stewart Applied Analysis Report Award, presented annually to recognize an exceptional applied analysis report written by a staff biostatistician, for "Healthcare Costs and Utilization Project."
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Tan Ding
Senior BiostatisticianMS, Statistics, University of Georgia
Research interests include: time-to-event analysis, mixed-effects modeling, categorical data, power analysis, sample size calculation
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Henry (Hank) Domenico
Lead BiostatisticianMS, Applied Statistics, Purdue University
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Run Fan
Principal BiostatisticianPhD, Microbiology, University of Alabama at Birmingham
MS, Biostatistics, Vanderbilt University
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Xiaoke (Sarah) Feng
BiostatisticianMS, Statistics, University of Texas at Dallas
MS, Mathematics, University of New Orleans
Primary collaboration: Department of Anesthesiology
Research focus/interests: longitudinal data analysis, survival data analysis, categorical data, statistical analysis with missing data, mixed effects models
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Yue Gao
BiostatisticianMS, Biostatistics, Vanderbilt University
MEd, Quantitative Methods, Vanderbilt University
Research interests include: statistical genetics, clinical trials, infectious diseases
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Wu Gong
Senior BiostatisticianMD, Shanghai Medical University
MS, Biostatistics, Middle Tennessee State University
Research interests include: clinical, epidemiological, and health policy outcomes; study design for clinical trial and cluster randomized trials; survey design; data analysis and causal inference for observational study
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Andrew Guide
BiostatisticianMS, Biostatistics, University of Michigan
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Alese Halvorson
BiostatisticianMS, Biostatistics, Vanderbilt
Primary collaborations: Vanderbilt Center for Child Health Policy, on projects related to opioid prescription patterns as well as the analysis of health poll data; Veterans Affairs (VA) Medical Center, internal medicine and gastroenterology
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Kim Hart
Principal BiostatisticianMA, Arizona State University
Collaborations include: Emergency Medicine study on acute heart failure; Influenza and Other Viruses in the Acutely Ill (IVY) Network
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Bryan Helm
Statistical Genetic Analyst IIPhD, Ecology and Evolutionary Biology, University of Arizona
Research interests include: rare pediatric cancers (germline predisposition, biomarkers, precision medicine), bioinformatics, genomics, transcriptomics, advanced data analysis, data science, R
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Cassandra (Cassie) Hennessy
BiostatisticianMS, Biostatistics, Vanderbilt University
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Brant Imhoff
BiostatisticianMS, Statistics, Miami University (Oxford, Ohio)
Research interests include: sports science, time series analysis
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Chih-Yuan Hsu
Staff ScientistPhD, Statistics, Cheng Kung University
Research interests include: functional data analysis; estimation of density partial derivatives; mode estimation; survival analysis; clinical trials; quantile regression with longitudinal data; single-cell RNA-seq normalization and clustering
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Rebecca Irlmeier
BiostatisticianMS, Biostatistics, Vanderbilt University
Research interests include: survival analysis; genomics
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Cathy Jenkins
Lead BiostatisticianMS, Biostatistics, University of North Carolina
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Xiangyu Ji
BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaborations: Eye Institute; Department of Biomedical Informatics
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Omair A. Khan
Senior BiostatisticianMaster of Applied Statistics, Pennsylvania State University
Accredited Professional Statistician, American Statistical Association
Primary collaboration: Vanderbilt Memory & Alzheimer's Center
Research interests include: developing solutions to minimize the challenges associated with collaborations between statisticians and other scientists; cognitive linguistics among individuals with autism
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Ahra Kim
Senior BiostatisticianMPH, Biostatistics, Loma Linda University
Collaborations include: Caribbean, Central and South America network (CCASAnet) for HIV epidemiology; VUMC Department of Psychiatry; FluTES and FluTES-C
Research interests include: advanced regression models, survival analysis, missing data techniques, causal inference methods for observational studies
Winner of the 2018 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician, for "Dolutegravir and Pregnancy Outcomes among ART recipients in Brazil: A National Study."
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Aaron Lee
BiostatisticianMS, Biostatistics, Vanderbilt University
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Yajing Li
BiostatisticianMS, Biostatistics, University of Michigan
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Xiao Liu
Statistical Genetic Analyst IIPhD, Molecular and Cellular Biology, Ohio University
Xiao Liu develops and applies bioinformatics tools to process, analyze, and interpret high throughput datasets, including DNA-seq, RNA-seq, ChIP-seq and single cell RNA-seq. He collaborates with groups across the institution to support research projects. His research seeks to identify the gene signatures associated with complex diseases, with emphases on colorectal cancer and Crohn’s disease.
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Elizabeth McNeer
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
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Ryan Moore
BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaborations: Vanderbilt Specialty Pharmacy; Advanced Artificial Intelligence Laboratory (AVAIL)
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Samuel Nwosu
Lead BiostatisticianMS, Biostatistics, Middle Tennessee State University
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Onur Orun
Senior BiostatisticianMS, Statistics, Colorado State University
MS, Mathematics, Bilkent University, Turkey
Primary collaboration: The Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center
Winner of the 2020 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician, for the "Vitamin D to Improve Outcomes by Leveraging Early Treatment: Long-term Brain Outcomes in Vitamin D Deficient Patients (VIOLET-BUD)" statistical analysis report.
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Amy Perkins
Principal BiostatisticianMS, Biostatistics, University of Pittsburgh
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Heather L. Prigmore
Senior BiostatisticianMPH, Epidemiology, Texas A&M University
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Marisol Ramirez-Solano
Statistical Genetic Analyst III, Department of BiostatisticsCore Facility Manager and Senior Bioinformatics Analyst, VANGARDMS, Biochemistry, Universidad Nacional Autónoma de México
Research interests include: small RNA sequencing and single cell sequencing data
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Paridhi Ranadive
BiostatisticianMS, Biostatistics, University of North Carolina
Skills and certifications include: categorical, longitudinal data, and survival analysis; sample size and power calculation; OLS, GLM and web scraping; machine learning; signal and image processing
Research interests include: imaging, air pollution, epidemiology
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Joshua Shaver
Health Services Research Analyst -
Yaping Shi
Lead BiostatisticianMS, Statistics, University of Iowa
Research interests include: prediction modeling, categorical data, mixed effects modeling, time-to-event data, repeated measures, longitudinal data.
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In Hae (Ine) Sohn
Biostatistician -
Tess Stopczynski
BiostatisticianMS, Statistics, University of Vermont
Research interests include: infectious diseases, survival analysis, categorical data analysis, trials design
Areas of collaboration: pediatric infectious diseases, neonatology, hematology
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Lili Sun
BiostatisticianMS, Biostatistics, Middle Tennessee State University
PhD, Crop Science, Zhejiang University
Research interests include: cancer immunotherapy, clinical endpoint, drug development
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Sydney (Afan) Swan
Health Services Research AnalystMPH, Epidemiology, University of Alabama at Birmingham
Primary collaboration: IVY-4 (Influenza and Other Viruses in the Acutely Ill)
Research interests include: epidemiology, molecular biology, and bacteriology
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Guanchao Wang
BiostatisticianMS, Biostatistics, University of Minnesota
Research interests include: Bayesian approaches to meta-analysis
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Li Wang
Lead BiostatisticianMS, Statistics and Biological Engineering, University of Georgia
Primary collaboration: Vanderbilt Institute for Clinical and Translational Research (VICTR).
Research interests include: clinical prediction models, pragmatic clinical trials, statistical computing, mixed-effects models, time-to-event analysis
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Yu Wang
Staff ScientistPhD, Crop Science (Bioinformatics branch), Zhejiang University
Research interests include: bioinformatics, population genetics, molecular evolution, non-coding small RNAs, translation informatics, immunotherapy in cancer.
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Meng Xu
Lead BiostatisticianMS, Statistics, University of Idaho
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Zhihong Yu
Senior BiostatisticianMS, Applied Statistics, Purdue University
PhD, Chemical Biology, Nankai University (China)
Research interests include: generalized linear models; mixed effects modeling; longitudinal data analysis; categorical data analysis; time-to-event data analysis; computer-assisted drug discovery
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Alex Zhao
Principal BiostatisticianMS, Biostatistics, University of Iowa
MS, Applied Mathematics, University of Toledo
Expertise includes: prediction modeling, linear regression, generalized linear regression, categorical data analyses, repeated measures, mixed-effects models, survival analysis, clinical trials, power and sample size justification, statistical computing, microarray data analysis, polymerase chain reaction (PCR) data analysis, machine learning, and data mining. In addition, he is proficient in the use of R and SAS and has considerable experience in conducting and analyzing data from molecular and genetic epidemiology studies of cancer.
Projects include: genetic studies from large consortia, including the Breast Cancer Association Consortium, Ovarian Cancer Association Consortium, and Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome.
Analytical Staff
Our People
Roles
Lead biostatisticians provide expert leadership in study design, complex statistical analysis techniques, and data management to promote the collection, analysis, and interpretation of data arising from research study findings.
Principal biostatisticians provide leadership in study design, statistical analysis techniques, and data management to promote the collection, analysis, and interpretation of data arising from research study findings, as well as the implementation of analysis and data management plans.
Senior biostatisticians apply a variety of intermediate and advanced statistical techniques and technical skills to promote the collection, analysis, and interpretation of data arising from research studies, and complete complex data management activities.
Biostatisticians apply data management and a variety of statistical techniques and technical skills to promote the collection, analysis and interpretation of data arising from research studies.