Teaching & Mentoring

I’m passionate about conveying statistical techniques to audiences with a variety of backgrounds, and I emphasize application and collaboration when teaching new concepts. I also love mentoring - pictured here are some of my current and former mentees!

My lab

I currently advise or co-advise the students below across the Master of Biostatistics, Master of Biomedical Sciences, and PhD programs at Duke, working on projects spanning causal inference methodology, women’s health, and real-world data.

William Stewart Master of Biostatistics · Advisor, 2025–present arXiv preprint; poster at ENAR 2026; Most Outstanding Master’s Project, MB Mathematical Statistics Track

Tatyana Bowers Master of Biostatistics · Advisor, 2025–present

Mattis Min Master of Biostatistics · Advisor, 2025–present

Shan Lu Master of Biostatistics · Advisor, 2026–present

Liv McClintock Master of Biomedical Sciences · Advisor, 2026–present Poster presentation, Duke MBS Scholar’s Day

Raina Innis Master of Biomedical Sciences · Advisor, 2026–present Poster presentation, Duke MBS Scholar’s Day

Vashti Claybrook Master of Biomedical Sciences · Advisor, 2026–present Poster presentation, Duke MBS Scholar’s Day

Courses

Medical Statistics

Course Director, Fall 2025 & Spring 2026
Master of Biomedical Sciences, Duke University School of Medicine

STAR Program Statistics

Co-Director, Summer 2026
Summer Training in Academic Research (STAR) Program, Duke Clinical Research Institute

Student Teaching Experience
  1. Statistical Methods in Public Health I/II, Lead Teaching Assistant, Fall 2022 & Fall 2023 · Teaching Assistant, Fall 2021, Johns Hopkins Bloomberg School of Public Health
  2. Causal Inference in Medicine and Public Health I, Teaching Assistant, Spring 2022 & Spring 2023, Johns Hopkins Bloomberg School of Public Health
  3. Leading Teams, Course Assistant, Fall 2018 – Spring 2020, Johns Hopkins University