Summary
Paul Simmerling is a Graduate Research Fellow and Caltech PhD student specializing in experimental particle physics, detector hardware, and AI-driven analysis with a decade of hands-on research experience. He brings a rare blend of physics, electrical engineering, and software skills—developing deep learning models for event generation and reconstruction while designing PCB adapters for high-luminosity detector upgrades. His work spans CLAS12 at JLab and EIC projects, improving legacy C++/Java/Python codebases for multithreading and characterization of MAPMTs, demonstrating both hardware finesse and production-level software engineering. Past internships in fusion and swarm robotics underscore his comfort across RF systems, instrumentation, and embedded data collection. Based in Los Angeles, he combines rigorous academic training with practical lab engineering to translate complex experimental requirements into scalable analysis and detector solutions.
10 years of coding experience
4 years of employment as a software developer
California Institute of Technology
B.S.E., Electrical Engineering, B.S.E., Electrical Engineering at University of Connecticut