Analytical Staff

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

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

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."

MS, Statistics, University of Georgia

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

MS, Applied Statistics, Purdue University

PhD, Microbiology, Vanderbilt University

MS, Biostatistics, Vanderbilt University

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

MS, Biostatistics, Vanderbilt University

MEd, Quantitative Methods, Vanderbilt University

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

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

MS, Biostatistics, University of Michigan

MS, 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 

MA, Arizona State University

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

MS, Biostatistics, Vanderbilt University

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

PhD, Statistics, National Cheng Kung University

MS, Biostatistics, Vanderbilt University

Research interests include: survival analysis; genomics

MS, Biostatistics, Vanderbilt University

Primary collaborations: Eye Institute; Department of Biomedical Informatics

MS, Biostatistics, University of North Carolina

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
 

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

MS, Biostatistics, Vanderbilt University

MS, Biostatistics, University of Michigan

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.

MS, Biostatistics, Vanderbilt University

MS, Biostatistics, Vanderbilt University

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

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.

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.

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.

MPH, Epidemiology, Texas A&M University

MS, Biochemistry, Universidad Nacional Autónoma de México

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

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

MS, Statistics, University of Iowa

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

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

MS, Biostatistics, Middle Tennessee State University

PhD, Crop Science, Zhejiang University

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

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

MS, Biostatistics, University of Minnesota

Research interests include: Bayesian approaches to meta-analysis

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’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. 

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.

MS, Biostatistics, University of Michigan

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

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.