Summary
Jericho O'Connell is a medical physics resident with eight years of experience bridging radiotherapy, imaging, and machine learning, currently training at the University of Washington. He has translated research into clinical tools at HMS/Brigham and Women’s Hospital—modeling imagers with GPU Monte Carlo and developing ML methods to improve CBCT material decomposition and reduce metal artifacts. A pragmatic software developer and open-source maintainer (creator of Fastcat), he builds reproducible tools for medical physics and has consulted on designing low-cost kilovoltage therapy systems for low- and middle-income settings. His background ranges from commissioning Truebeam linacs to developing deep-learning synthetic CTs and non-coplanar planning algorithms, reflecting both hands-on QA and algorithmic expertise. Unusually for a physicist, he also brings operational grit from years as a wildfire fighter, which informs his rapid-response collaboration and field-tested problem solving.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Victoria