Analytical Staff

  • Aihua Bian, MPH

    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, MS

    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

     

     

     

  • Sheau-Chiann Chen, PhD

    Senior Staff Scientist

    PhD, Biostatistics, National Cheng Kung University (Taiwan)

    Research interests include: Methodology development in phase I clinical trials, pattern recognition and robust estimation; statistics with applications in clinical trials, industrial statistics, cancer biology

  • Tan Ding, MS

    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, PhD, MS

    Principal Biostatistician

    PhD, Microbiology, Vanderbilt University

    MS, Biostatistics, Vanderbilt University

     

  • Xiaoke (Sarah) Feng, MS

    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, MS

    Biostatistician

    MS, Biostatistics, Vanderbilt University

    MEd, Quantitative Methods, Vanderbilt University

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

     

  • Wu Gong, MD

    Senior Biostatistician

    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

  • Kim Hart, MA

    Principal Biostatistician

    MA, Arizona State University

     

     

  • Bryan Helm, PhD

    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

     

     

  • Chih-Yuan Hsu, PhD

    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, MS

    Biostatistician

    MS, Biostatistics, Vanderbilt University

    Research interests include: survival analysis; genomics

  • Cathy Jenkins, MS

    Principal Biostatistician

    MS, Biostatistics, University of North Carolina

  • Ahra Kim, MPH

    Senior Biostatistician

    MPH, Loma Linda University

    Collaborations include: Caribbean, Central and South America network (CCASAnet) for HIV epidemiology; VUMC Department of Psychiatry 

    Research interests include: advanced regression models, survival analysis, missing data techniques, causal inference methods for observational studies

  • Aaron Lee, MS

    Biostatistician

    MS, Biostatistics, Vanderbilt University

  • Yajing Li, MS

    Biostatistician

    MS, Biostatistics, University of Michigan

  • Xiao Liu, PhD

    Statistical Genetic Analyst II

    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.

  • Samuel Nwosu, MS

    Principal Biostatistician

    MS, Biostatistics, Middle Tennessee State University

    Samuel Nwosu provides 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.

  • Onur Orun, MS

    Senior Biostatistician

    MS, Statistics, Colorado State University

    MS, Mathematics, Bilkent University, Turkey

    Onur Orun applies 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 completes complex data management activities.

  • Amy Perkins, MS

    Principal Biostatistician

    MS, Biostatistics, University of Pittsburgh

    Amy Perkins provides 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.

  • Marisol Ramirez-Solano, MS

    Statistical Genetic Analyst III

    Marisol Ramirez-Solano is an analyst for Vanderbilt Technologies for Advanced Genomics Analysis and Research Design (VANGARD). She also works in collaborations analyzing small RNA sequencing and single cell sequencing data.

  • Yaping Shi, MS

    Principal Biostatistician

    MS, Statistics, University of Iowa

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

     

  • Tess Stopczynski, MS

    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, PhD

    Biostatistician

    MS, Biostatistics, Middle Tennessee State University

    PhD, Crop Science, Zhejiang University

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

  • Guanchao Wang, MS

    Biostatistician

    MS, Biostatistics, University of Minnesota

    Research interests include: Bayesian approaches to meta-analysis

  • Li Wang, MS

    Principal 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, Ph.D.

    Staff Scientist

    Yu Wang’s work explores the genomic or transcriptomic signatures for developing potential biomarkers to better depict cancer patients to improve immunotherapy response with bioinformatical and statistical methods. 

  • Meng Xu, MS

    Principal Biostatistician

    MS, Statistics, University of Idaho

    Meng Xu provides 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.

  • Kevin Zhang, MS

    Biostatistician

    MS, Biostatistics, University of Michigan

    Research interests include: health outcomes; the intersection of theoretical statistics and data analysis 

  • Alex Zhao, MS

    Principal Biostatistician

    MS, Biostatistics, University of Iowa

    MS, Applied Mathematics, University of Toledo

    Alex Zhao provides 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.