MS, Biostatistics, University of North Carolina; BS, Neurobiology and Applied Mathematics, University of California San Diego

MS, Statistics, Duke University

BS, Statistics, and BA, Philosophy, Sonoma State University; associate degrees, Mathematics, Economics, and Philosophy, Santa Rosa Junior College

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

Biostatistics Graduate Student Association: communications officer and first-year liaison, 2025–2026

BS, Statistics, East China Normal University

Thesis: A Bayesian framework to integrate genomic annotations for identification of Autism risk genes

Advisor: Ran Tao

PhD, Human Genetics, Vanderbilt University; BS, Biology/Biological Sciences, Tsinghua University

At Meta since 2021. Currently Data Scientist.

Thesis: Evaluating uses of machine learning in propensity score estimation on time-to-event data: A simulation study

Advisor: Amber Hackstadt

BS, Public Health, California State University, Los Angeles

At Vanderbilt University Medical Center since 2022. Currently Senior Biostatistician.

Thesis: Evaluating Chart Review Strategies Using Electronic Health Record Data in the Context of Risk Prediction Modeling

Advisor: Dandan Liu

BS, Mathematics and Biology, Mississippi College

At Vanderbilt University Medical Center since 2018. Currently Principal Biostatistician.