Published work and technical foundations
My research background is in neutrino physics, detector analysis, simulation, and ML. This page only covers published work and projects already in the open.
PhD at the University of Tennessee, working on the PROSPECT neutrino experiment at Oak Ridge. The work pulled together detector physics, statistical analysis, particle transport simulation, and machine learning for event reconstruction and background reduction.
It trained me to build software and analysis pipelines where correctness and noise tolerance aren't optional. Same habits apply to consulting and technical product work.
Signal processing
Detector-signal analysis in noisy experimental conditions. Pulling reliable measurements out of imperfect data.
Machine learning
Applied ML for event reconstruction and classification. Improved usable detector statistics by 3.3% in PROSPECT.
Simulation
Particle transport simulation and scientific software in experimental physics work.
Research software
Analysis tooling and reproducible technical systems for problems where the answer has to hold up.
Public stays public
Ongoing research and unreleased technical projects stay off this page until they're ready. This is background, not a teaser for half-built work.
If you're working on something scientific or technically demanding and want to talk collaboration, reach out directly.