Biostatistics Alumni - PhD

Dissertation: Sequential Rematched Randomization and Adaptive Monitoring with the Second-Generation p-Value to increase the efficiency and efficacy of Randomized Clinical Trials

Advisor: Robert Greevy

MS, Biostatistics, University of Minnesota; BS, Statistical Science, Brigham Young University

At University of Utah since 2019. Currently Assistant Professor of Biostatistics.

Dissertation: Design and Analysis Methods for Modern Biomedical Studies with Longitudinal Outcomes

Advisors: Jonathan Schildcrout and Ran Tao

MS, Statistics, University of British Columbia; MS, Actuarial and Financial Science, Sapienza University di Roma

At Imperial College London since 2023. Currently Postdoctoral Research Associate. 

Dissertation: Estimating Spearman’s Correlation with Bivariate Right-Censored Data

Advisor: Bryan Shepherd

MA, Economics, Technion and University of Haifa; MSc and BS, Applied Mathematics, Moscow State University

At Vanderbilt University Medical Center since 2020. Currently Research Assistant Professor of Biostatistics.

Dissertation: Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models

Advisor: Bryan Shepherd

MS, Biostatistics, University of Washington; BS, Statistics and Mathematics, University of Missouri-Columbia

At Harvard T. H. Chan School of Public Health since 2018. Currently Research Scientist, Center for Biostatistics in AIDS Research (CBAR).

Dissertation: Advanced Statistical Techniques in DW-MRI and fMRI Data Analysis

Advisor: Hakmook Kang

BS, Statistics and Biology, Baylor University

At GlaxoSmithKline Pharma since 2018. Currently Principal Statistician.

Dissertation: Statistical methods and computational tools for normalization and spatial analysis of multiplexed imaging data

Advisor: Simon Vandekar

BS, Mathematical Statistics, University of Alabama - Tuscaloosa

At Nashville Biosciences since 2022. Currently Data Engineer.

Dissertation: Bayesian Methods for Cumulative Probability Models and Population Pharmacokinetic Models

Advisor: Leena Choi

MS, Biostatistics, Johns Hopkins University; BA, Mathematics (minor in Statistics), Messiah University

At Berry Consultants since 2022. Currently Statistical Scientist.

Dissertation: Statistical methods for optimal design and information preservation in pharmacokinetics and data squashing with missing values

Advisor: Matt Shotwell

BA, Economics / International Relations and Global Affairs, Eckerd College

At Eli Lilly since 2022. Currently Advisor, PK/PD and Pharmacokinetics.

Dissertation: Causal Approaches to Quantifying the Role of Engagement in Studies of Mobile Health Interventions

Advisor: Andrew Spieker

MS, Analytics, Georgia Institute of Technology; BS, Mathematics, College of William and Mary

Dissertation: Overcoming Challenges with Real World Data and Clinical Restrictions in Pharmacokinetic Analyses

Advisor: Matt Shotwell

BS, Mathematics and Psychology, Binghamton University

Dissertation: Managing Disease Outbreaks: Current Approaches, An Artificial Intelligence Alternative, and Its Performance

Advisor: Christopher Fonnesbeck

BS, Statistics, University of Maryland, Baltimore County

At the Department of Defense. Currently Data Scientist.

Dissertation: Coping With Complexities in High Dimensional Data: PheWAS in EMR and Statistical Inference in fMRI Data

Advisor: Hakmook Kang

BS, Biochemistry, University of Washington

At Genentech since 2020. Currently Statistical Scientist.

Dissertation: Rank-Based Semiparametric Methods: Covariate-Adjusted Spearman’s Correlation with Probability-Scale and Cumulative Probability Models

Advisor: Bryan Shepherd

MS, Biochemistry (minor in Statistics), Iowa State University; BS, Biology/Biological Sciences, University of Science and Technology of China

At Merck since 2016. Currently Senior Scientist.

Dissertation: Using observational data in healthcare research: New methods to design, conduct, and analyze efficient two-phase designs

Advisors: Bryan Shepherd and Ran Tao

BS, Statistics, University of Florida

At Wake Forest University since 2022. Currently Assistant Professor of Statistical Sciences, Biostatistics and Data Science.

Dissertation: Improving Modern Techniques of Causal Inference: Finite Sample Performance of ATM and ATO Doubly Robust Estimators, Variance Estimation for ATO Estimators, and Contextualized Tipping Point Sensitivity Analyses for Unmeasured Confounding

Advisor: Robert Greevy

MS, Biostatistics, Washington University; BA, Religious Studies and Romance Languages, University of North Carolina

At Wake Forest University since 2019. Currently Assistant Professor of Statistical Sciences, Biostatistics and Data Science.

Dissertation: Design and Analysis Consideration for Complex Longitudinal and Survey Sampling Studies

Advisor: Jonathan Schildcrout

MS, Biostatistics, University of Washington; BS, Applied Mathematics and Microbiology, University of Idaho

At Massachusetts General Hospital since 2017. Currently Co-chair of Statistics.

Dissertation: On Optimal Prediction Rules with Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data

Advisor: Jeffrey Blume

BA, Mathematics, Colorado College

At Mass General Brigham since 2022. Currently Lead Biostatistician, AI CRO (Artificial Intelligence Clinical Research Organization), Data Science Office.

MS, Statistics, Wake Forest University; Graduate Certificate in Data Science, Wake Forest University; BS, Applied Mathematics, and BA, Philosophy (minors in Computer Science and Finance, concentration in Data Science), University of Scranton

Research interests include: measurement error, misclassification, missing data, social determinants of health

Dissertation: On second-generation p-values for equivalence testing and study planning, and flexible false discovery rate computation for classical p-values

Advisor: Jeffrey Blume

BS, Mathematics, Baylor University

At Eli Lilly since 2022. Currently Statistics Research Scientist.

Dissertation: Predictive Partly Conditional Models for Longitudinal Ordinal Outcomes with Applications to Alzheimer’s Disease

Advisor: Dandan Liu

MS, Biostatistics, Vanderbilt University (thesis: Statistical Methods for Modeling Disease Progression); BS, Biological/Biosystems Engineering, University of Florida

At WebMD Ignite since 2024. Currently Product Manager.

Dissertation: Aspects of Causal Inference within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching
 

Advisor: Robert Greevy

MEd, Secondary Education, Vanderbilt University; BA, Religious Studies, Yale University

At Vanderbilt University Medical Center since 2017. Currently Research Assistant Professor of Biostatistics.

Dissertation: On Estimating Causal Mediation Effects from a Single Regression Equation

Advisor: Jeffrey Blume

BS, Mathematics, Baylor University

At Berry Consultants since 2019. Currently Statistical Scientist.

Dissertation: Bayesian Transformation Models for Multivariate Survival Analysis with Applications in Large Data

Advisor: Cindy Chen

BS, Mathematics and Statistics, Grand Valley State University

At University of Toronto since 2023. Current position: Assistant Professor of Health and Society.

Dissertation: Empirical Bayes Methods for Everyday Statistical Problems

Advisor: Jeffrey Blume

DDS, Indiana University; MPH, Dental Public Health, A. T. Still University of Health Sciences

At Vanderbilt University Medical Center since 2012. Currently Assistant Professor of Biostatistics. 

Dissertation: Network analysis and visualization for electronic health records data

Advisor: Yaomin Xu

At Posit since 2020. Currently Senior Software Engineer.

Dissertation: Assessing the Impact of Health Policies: Advancements in Causal Inference Methodology and Real-World Application

Advisor: Bryan Shepherd

BA, Mathematics (minors in Statistics and Biology), Cornell College (Iowa)

Dissertation: Semiparametric Cumulative Probability Models for Skewed, Censored, and Clustered Continuous Response Data

Advisor: Bryan Shepherd

BS, Statistics, Xiamen University

At Mastercard since 2023. Currently Lead Data Scientist.

Dissertation: Rank-Based Analyses and Designs with Clustered Data

Advisor: Bryan Shepherd

MS, Biostatistics, Duke University; BS, Mathematics, Renmin University of China

Dissertation: On False Discovery Rates for Second-Generation p–Values

Advisor: Jeffrey Blume

BS, Mathematics (minor in Biology), Georgia Southern University

Dissertation: Improving Inferential and Computational Efficiency for Real-World Data

Advisor: Qingxia "Cindy" Chen

BA, Mathematics (concentration in Statistics), St. Olaf College (Northfield, MN)

At OPEN Health since 2023. Currently Associate Research Consultant.

Dissertation: Using Electronic Health Record Derived Medication Data for Population Pharmacokinetic Studies

Advisor: Leena Choi

BS, Biomedical Engineering, University of Michigan

At AstraZeneca since 2022. Currently Senior Scientist.

Dissertation: Double Wavelet Transform for Task-Induced and Resting State Functional Magnetic Resonance Imaging Data

Advisor: Hakmook Kang

MS, Applied and Computational Mathematics, Western Michigan University; BS, Mathematics and Applied Mathematics, Tongji University

At Artefact since 2022. Currently Senior Data Scientist.

Dissertation: Improved Variable Selection with Second-Generation P-Values

Advisor: Jeffrey Blume

MPH, Biostatistics, Boston University

At Merck since 2021. Currently Senior Scientist.