Analytical Staff

  • Aihua Bian

    Principal Biostatistician

    MPH, 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

  • Caroline Birdrow

    Biostatistician

    MS, 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

     

     

     

  • Josh DeClercq

    Senior Biostatistician

    MS, 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."

  • Tan Ding

    Senior Biostatistician

    MS, Statistics, University of Georgia

    Research interests include: time-to-event analysis, mixed-effects modeling, categorical data, power analysis, sample size calculation

  • Run Fan

    Principal Biostatistician

    PhD, Microbiology, University of Alabama at Birmingham

    MS, Biostatistics, Vanderbilt University

     

  • Xiaoke (Sarah) Feng

    Biostatistician

    MS, 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

  • Yue Gao

    Biostatistician

    MS, Biostatistics, Vanderbilt University

    MEd, Quantitative Methods, Vanderbilt University

    Research interests include: statistical genetics, clinical trials, infectious diseases

     

  • Wu Gong

    Senior Biostatistician

    MD, 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

  • Andrew Guide

    Biostatistician

    MS, Biostatistics, University of Michigan

     

     

  • Kim Hart

    Principal Biostatistician

    MA, Arizona State University

    Collaborations include: Emergency Medicine study on acute heart failure; Influenza and Other Viruses in the Acutely Ill (IVY) Network

     

  • Bryan Helm

    Statistical Genetic Analyst II

    PhD, 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

     

     

  • Brant Imhoff

    Biostatistician

    MS, Statistics, Miami University (Oxford, Ohio)

    Research interests include: sports science, time series analysis

  • Chih-Yuan Hsu

    Staff Scientist

    PhD, 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

  • Rebecca Irlmeier

    Biostatistician

    MS, Biostatistics, Vanderbilt University

    Research interests include: survival analysis; genomics

  • Cathy Jenkins

    Lead Biostatistician

    MS, Biostatistics, University of North Carolina

  • Omair A. Khan

    Senior Biostatistician

    Master 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
     

  • Ahra Kim

    Senior Biostatistician

    MPH, 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."

  • Aaron Lee

    Biostatistician

    MS, Biostatistics, Vanderbilt University

  • Yajing Li

    Biostatistician

    MS, Biostatistics, University of Michigan

  • Xiao Liu

    Statistical Genetic Analyst II

    PhD, 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.

  • Elizabeth McNeer

    Senior Biostatistician

    MS, Biostatistics, Vanderbilt University

     

  • Ryan Moore

    Biostatistician

    MS, Biostatistics, Vanderbilt University

    Primary collaborations: Vanderbilt Specialty Pharmacy; Advanced Artificial Intelligence Laboratory (AVAIL)

     

  • Samuel Nwosu

    Lead Biostatistician

    MS, Biostatistics, Middle Tennessee State University

  • Onur Orun

    Senior Biostatistician

    MS, 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.

  • Amy Perkins

    Principal Biostatistician

    MS, Biostatistics, University of Pittsburgh

  • Marisol Ramirez-Solano

    Statistical Genetic Analyst III, Department of Biostatistics
    Core Facility Manager and Senior Bioinformatics Analyst, VANGARD

    MS, Biochemistry, Universidad Nacional Autónoma de México

    Research interests include: small RNA sequencing and single cell sequencing data

  • Paridhi Ranadive

    Biostatistician

    MS, 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

     

     

  • Yaping Shi

    Lead Biostatistician

    MS, Statistics, University of Iowa

    Research interests include: prediction modeling, categorical data, mixed effects modeling, time-to-event data, repeated measures, longitudinal data.

     

  • In Hae (Ine) Sohn

    Biostatistician

    MS, Statistics, North Carolina State University

    Collaborations include: Respiratory Virus Transmission Network (RVTN), Influenza and Other Viruses in the Acutely Ill (IVY-4)

    Research interests include: clinical trials, longitudinal data analysis, data management

  • Tess Stopczynski

    Biostatistician

    MS, Statistics, University of Vermont

    Research interests include: infectious diseases, survival analysis, categorical data analysis, trials design

    Areas of collaboration: pediatric infectious diseases, neonatology, hematology

     

  • Lili Sun

    Biostatistician

    MS, Biostatistics, Middle Tennessee State University

    PhD, Crop Science, Zhejiang University

    Research interests include: cancer immunotherapy, clinical endpoint, drug development

  • Sydney (Afan) Swan

    Health Services Research Analyst

    MPH, 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

     

  • Guanchao Wang

    Biostatistician

    MS, Biostatistics, University of Minnesota

    Research interests include: Bayesian approaches to meta-analysis

  • Li Wang

    Lead Biostatistician

    MS, 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

  • Yu Wang

    Staff Scientist

    PhD, Crop Science (Bioinformatics branch), Zhejiang University

    Research interests include: bioinformatics, population genetics, molecular evolution, non-coding small RNAs, translation informatics, immunotherapy in cancer.

  • Meng Xu

    Lead Biostatistician

    MS, Statistics, University of Idaho

     

  • Zhihong Yu

    Senior Biostatistician

    MS, 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

     

  • Alex Zhao

    Principal Biostatistician

    MS, 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.