Principal Investigator
Andrew Spieker is an Associate Professor of Biostatistics with research interests in causal inference, sensitivity analyses, and flexible modeling. Dr. Spieker’s lab is currently working on a number of important challenges in causal analysis of mobile health interventions and longitudinal effects of HIV medications.
Current Lab Members
Alexis Fleming is a Biostatistics PhD student entering her third year at Vanderbilt University with bachelor’s degrees in Statistics and Financial Economics from Gustavus Adolphus College. Her research interests include developing methods for causal inference and longitudinal analysis, with a particular focus on their applications to health policy.
Kaixing Liu is an MS student in biostatistics at Vanderbilt University, having earned a BS Biological Science (minors in Economics and Statistics) from Tsinghua University. His research interests are primarily in causal inference methods.
Lab Alumni
Jamie Joseph is a biostatistician at Henry Ford Heath. Her dissertation centered on instrumental variable and causal mediation-based methods for examining the role of engagement in mobile health interventions. Prior to studying at Vanderbilt, she received her MS in Analytics from Georgia Tech, and her BS from the College of William and Mary.
Julia Whitman completed her masters in biostatistics at Vanderbilt University. Her research focused on identifying properties of variance estimators in finite samples. Other areas of interest include methods and applications for clinical trial efficiency, health policy, adaptive trials and large-scale platform studies.
Nicholas Micheletti is a biostatistician working with the NIH at the Center for Cancer Research. Nick graduated from Vanderbilt University with a MS in Biostatistics in 2024; his thesis was entitled “The Second Generation Acceptability Curve: A Novel Visualization Approach to Cost-Effectiveness Analysis.”
Nate Dowd graduated with an MS in Biostatistics from Vanderbilt University and is currently a Research Statistician at the Frist Center for Autism and Innovation. His research interests include statistical modeling, causal inference, machine learning, R, data visualization. He has expertise in receiver operating characteristic (ROC) methods and has explored parametric, semi-parametric, and non-parametric approaches to ROC estimation and regression.
Jackson Resser is a biostatistician at Vanderbilt University Medical Center. His current work involves collaborations on several infectious disease projects studying influenza, RSV, and COVID-19. His roles range from data management to data analysis. Prior to his current position, he studied at Vanderbilt University under the advisory of Dr. Spieker. His thesis work involved developing a risk score framework for predicting RSV severity among a population of infants.
Caroline Birdrow is a biostatistician in the Department of Biostatistics at Vanderbilt University Medical Center. She received her Master of Science in Biostatistics from Vanderbilt University in 2021 and her Bachelor of Arts in Mathematics from Washington and Lee University in 2016. She currently collaborates with the Critical Illness, Brain Dysfunction and Survivorship (CIBS) Center on management of data and the statistical analyses of a variety of studies pertaining to delirium in the ICU.
Aaron Lee is a biostatistician in the Department of Biostatistics at Vanderbilt University Medical Center. He completed his MS degree in Biostatistics from Vanderbilt University in 2021; his thesis was entitled “The Impact of Inherent Measurement Error in the Hemagglutination Inhibition Assay for the Evaluation of Vaccine Immunogenicity.”