About me
I am a biostatistician that leads clinical trials and observational studies using state of the art causal inference techniques. In addition to my PhD training, my previous experiences include holding a statistical analyst position at a non-profit in the field of regulatory toxicology and a research scientist position focused on randomized experiments of agricultural pests. The culmination of my experiences has led me to be skilled in constructing narratives from data to uncover ways to enhance patient outcomes and care. These patient-focused narratives are told through Bayesian inference. My go-to tool is R (RStudio), where I have the most experience in data wrangling (cleaning, parsing, transforming), data analysis, simulations (Monte Carlo), and data visualization.
