Hello, and thanks for visiting!
I’m a biostatistician and data scientist in the Wake Forest University School of Medicine
Research
My research interests include random forests, prediction modeling, blood pressure, cardiovascular disease, and cognition. I work in clinical trials such as SPRINT, LEAP, and MoTrPAC. My roles include data coordination, dynamic reporting, simulation, and analysis. I’m the developer of aorsf, an R package with fast routines to fit oblique random forests for classification, regression, and survival outcomes. I work with cognitive science experts to develop robust prediction models that can help direct cognitive screening to patients who may be at risk for developing cognitive impairment or dementia. I believe in opening science up and making it simpler, so that it’s easier for everyone to participate. A great example of this is the hypertension statistics web application I developed with my colleagues in the Jackson Heart Study Hypertension Working Group. It’s free, try it out! There are online tutorials for it here and a paper here.
Teaching
I love to teach and learn new things. I’m currently teaching THSS 730: Introduction to Biostatistics. A few other teaching activities are my workshop on random forests for prediction and inference, my demo of the aorsf package, and my all-time favorite class, Introduction to R.