I am a data science fellow within the Insight Data Science program in New York, working on predicting ridership changes following a station closure using Bayesian inference and the MTA's turnstile data. I am currently finishing my Ph.D through the University of Notre Dame, studying nuclear astrophysics—focusing on radiative alpha-capture reactions using the recoil separator St. GEORGE—under Dr. Manoel Couder and Dr. Michael Wiescher. I graduated from Michigan State University in 2011 with degrees in physics and astrophysics and a minor in mathematics. My first exposures to programming were in grade school and high school, but I didn't recognize them as such until college.
I code in Python, both for large-scale analysis and short scripts. Much of my research code has been in C++ extended by the ROOT Data Analysis Framework, especially for work that reaches beyond my own dissertation. I have also used bash scripting, Fortran, COSY, and others when necessary. My current body of work is within data analysis and visualization and equipment monitoring.
I've worked on many projects at ND for both the lab and collaborations, past what code I write for my own research. In addition, I've worked on side projects that aren't physics-related. Below are a few selected projects.