I lead a talented team that combines expertise in physical measurements with computational sciences, applied math, and machine learning. We help solve problems for the energy industry.

I apply nuclear physics to help address the challenges of the energy industry, with applications to oil & gas, carbon sequestration, and mining. I enjoy that this work occurs at the intersection of pure physics, data analysis, and numerical modeling.

For my PhD work I implemented a core aspect of the analysis that led to the world's first direct observation of matter-antimatter oscillations in B_s mesons at Fermilab's CDF experiment. The effort was an intense collaboration within a group of ~10 students, postdocs, and professors to understand the data composition and detector resolutions. My primary contribution was the development of a model that incorporated previously unusable data (partially reconstructed B_s decays). This development was one of a few that pushed the observation across the 5-sigma threshold for statistical significance. As a PhD student I delivered numerous presentations and extensive documentation of our results for internal and public audiences. In parallel, I upgraded and administered the Linux computing cluster which processed data (the Level 3 trigger for collision event detection) in service to the CDF collaboration of 700+ researchers, increasing throughput by 70%.

Undergraduate research in the Hadronic Physics Group.