Teaching Philosophy

I am committed to creating a positive and engaging learning environment for my students. I seek to use innovative strategies to promote active learning, including team-based learning and flipped classrooms. I emphasize recent and illustrative examples from the literature because I feel that this is the best way for students to understand the motivation behind biostatistics. I aim to train my students to be confident and critical consumers of biomedical research.


Current Courses

BIOS 522: Survival Analysis Methods, Emory University

This course aims to develop basic understanding of the analysis of time-to-event data. The concepts to be introduced include survival functions, hazard rates, right censoring, interval censoring, left truncation, and competing risks. Methods of focus are Kaplan-Meier estimates, log-rank tests, Cox proportional hazards regression models, and parametric regression models. Students will learn how to implement standard survival analysis methods using R and appropriately interpret results.


Past Courses

PHC 6059: Introduction to Applied Survival Analysis, University of Florida

I designed and taught this introductory survival analysis course aimed at students from outside the biostatistics department. Course topics include Kaplan-Meier estimation, log-rank testing, Cox proportional hazards models, accelerated failure time models, and sample size estimation for clinical trials. Frequent examples from the literature are provided. Emphasis is placed on interpreting statistical output in the context of an applied problem.

PHC 4094: Introduction to Biostatistics for Health Science and Public Health, University of Florida

I designed and taught the university’s first undergraduate course in biostatistics. This course covered topics in basic statistics including regression, analysis of tables, and an introduction to non-parametric statistics. This course used a flipped structure, with students preparing for class by watching online lectures. In class time was dedicated to hands on activities such as online applets, data analysis, and reviewing examples from the literature.