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Onika Abrams
Research Data SpecialistMSPH, Applied Epidemiology, University of Alabama at Birmingham
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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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Heather Bickham
Project ManagerMPH, Health Behavior and Community Health, New York Medical College
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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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Hua-Chang Chen
Data Scientist Assistant IPhD, Genetics, Shanghai Institute of Plant Physiology and Ecology
Hua-Chang Chen focuses mainly on inferring the underlying causal genes for severe diseases by utilizing GWAS (Genome-Wide Association Study) and Mendelian randomization. His work also includes predicting risk genes/domains by integrating multi-omics data.
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Josh DeClercq
Principal BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaborations include: Vanderbilt Specialty Pharmacy; Department of Physical Medicine and Rehabilitation; Center for Research and Innovation in Systems Safety
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
Primary Collaborations: Department of Quality, Safety, and Risk Prevention, Center for Patient and Professional Advocacy
Research interests and expertise: pragmatic clinical trials, real-time predictive modeling using EHR data, machine learning and artificial intelligence, continuous quality improvement
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Andrea Elhajj
Research Data SpecialistMS, Civil and Environmental Engineering (Data Science Concentration), University of Vermont
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Run Fan
Principal BiostatisticianPhD, Microbiology, University of Alabama at Birmingham
MS, Biostatistics, Vanderbilt University
Winner of the 2017 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician
Data analyst for the ARC (Arthroscopic Rotator Cuff) Trial, Shoulder Study Research Group
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Xiaoke (Sarah) Feng
Senior 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
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
MEd, Quantitative Methods, Vanderbilt University
Research interests include: statistical genetics, clinical trials, infectious diseases
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Nicolas Gargurevich
BiostatisticianMS, Biostatistics, University of Michigan
Research interests include: clinical trials, mental health research, and public health studies pertaining to nutrition, infectious disease, and sexual and reproductive health
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Andrew Guide
Senior BiostatisticianMS, Biostatistics, University of Michigan
Research interests include: heart and kidney disease
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Bryan Helm
Senior Statistical Genetic AnalystPhD, 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
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaborations include projects with anesthesiology and the COVID-19 and Cancer Consortium
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Brant Imhoff
Senior BiostatisticianMS, Statistics, Miami University (Oxford, Ohio)
Primary collaborations: Pragmatic Critical Care Research Group, heart failure, emergency medicine
Research interests include: non-parametric statistics, machine learning, time series analysis, predictive modeling, clinical trials -
Rebecca Irlmeier
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
Research interests include: continuous quality improvement in healthcare; clinical prediction models and real-time implementation to improve patient outcomes; omics research, including high-dimensional genotyping, transcriptomic, and proteomic data; deep phenotyping data; design and analysis of clinical trials; survival analysis; longitudinal analysis; machine learning and artificial intelligence
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Amir Javid
BiostatisticianMS, Statistics, Oklahoma State University • PhD, Civil Engineering, Oklahoma State University
Research experience includes: flood detection and monitoring, tree failure detection, drought monitoring with machine learning models
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Cathy Jenkins
Lead BiostatisticianMS, Biostatistics, University of North Carolina
Winner of the 2014 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician
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Xiangyu Ji
BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaborations: Eye Institute; Department of Biomedical Informatics
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Cassandra (Cass) Johnson
BiostatisticianMS, Biostatistics, University of Minnesota
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Lauren E. King
Senior Project ManagerMPH (Epidemiology Concentration), University of Alabama at Birmingham
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Aaron Lee
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
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Yajing Li
Senior BiostatisticianMS, Biostatistics, University of Michigan
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Yunqi "Vicky" Liao
BiostatisticianMS, Biostatistics (Epidemiology minor), University of Texas Health Science Center at Houston
Research interests include: cancer-related research, EHR data, categorical data analysis, observational studies, data management
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Cara Lwin
BiostatisticianMS, Biostatistics, Vanderbilt University
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Trey McGonigle
BiostatisticianMS, Statistics, University of California, Riverside
Winner of the 2022 Linda Stewart Analysis Report Award.
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Elizabeth McNeer
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
McNeer collaborates with researchers in Vanderbilt's Center for Child Health Policy. Her work has included evaluating the impact of various chart review strategies on risk prediction models using electronic health record data.
Winner of the 2020 IT Innovation Award for EHR: Electronic Health Record (EHR) Data Processing and Analysis Tool
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Ryan Moore
Senior BiostatisticianMS, Biostatistics, Vanderbilt University
Primary collaborations: Vanderbilt Specialty Pharmacy; Advanced Artificial Intelligence Laboratory (AVAIL). Co-investigator, "Predicting risk of systemic autoimmune disease in patients with positive antinuclear antibodies" (PI: April Barnado)
Winner of the 2021 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician, for "Patient-centered services to improve specialty medication adherence: A randomized clinical trial"
Organizer of the department's Statistical Computing Series
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Samuel Nwosu
Lead BiostatisticianMS, Biostatistics, Middle Tennessee State University
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Onur Orun
Principal BiostatisticianMS, Statistics, Colorado State University
MS, Mathematics, Bilkent University, Turkey
Primary collaboration: The Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center
Winner of the 2019 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician, for "Vitamin D to Improve Outcomes by Leveraging Early Treatment: Long-term Brain Outcomes in Vitamin D Deficient Patients (VIOLET-BUD)"
Winner of the 2023 Linda Stewart Applied Analysis Report Award for "BRAIN-ICU Long-term Outcomes Latent Trajectory Analysis Report"
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Amy Perkins
Lead 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
Principal Statistical Genetic Analyst, 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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Jackson Resser
BiostatisticianMS, Biostatistics, Vanderbilt University
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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 -
Joey Stolze
Senior Statistical Genetic AnalystPhD, Genetics, University of Arizona
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Tess Stopczynski
Senior 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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Mackenzie Stuenkel
Research Data SpecialistPhD, Applied Health Research and Evaluation, Clemson University
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Lili Sun
Senior BiostatisticianMS, Biostatistics, Middle Tennessee State University
PhD, Crop Science, Zhejiang University
Research interests include: cancer immunotherapy, clinical endpoint, drug development
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Yunyi Sun
BiostatisticianMEd, Quantitative Methods, Vanderbilt University
Research interests: non-parametric method, bootstrapping technique, Bayesian statistics, applied regression, machine learning, principal component analysis, multivariate statistics, clustering analysis
Primary collaboration: Alzheimer's disease
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(Sydney) Afan Swan
Senior Research Data SpecialistMPH, 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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Ke Xu
BiostatisticianMS, Biostatistics and Biomedical Informatics, University of Florida
Researchinterests include: omics, fMRI imaging data
For more information: xkcococo.github.io
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Meng Xu
Lead BiostatisticianMS, Statistics, University of Idaho
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Elisa Yazdani
BiostatisticianMS, Biostatistics, Vanderbilt University
Research interests include: pharmacokinetics, electrophysiology, cognitive disorders, clinical trials
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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
Analytical/Research 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.
Associate biostatisticians apply data management and a variety of techniques and skills to promote the collection, analysis and interpretation of data arising from research studies, with some guidance.