Ryan Bayes is a particle physicist and experienced postdoctoral researcher with 13 years advancing muon and neutrino experiments across TRIUMF, RAL, CERN and SNOLAB. He combines deep expertise in simulation, data analysis and detector calibration with hands-on hardware design and construction tailored to stringent constraints of underground, cleanliness-sensitive environments. Ryan has led calibration campaigns for SNO+, coordinated analysis efforts, and contributed to international proposals and prototypes such as IDS-NF, nuSTORM, MICE and BabyMIND. He mentors students, runs field data collection at major accelerator facilities, and has a strong track record of refereed publications and invited talks. Comfortable working two kilometers underground, he brings practical problem-solving under tight spatial and temporal limits that complements his academic rigor.
13 years of coding experience
12 years of employment as a software developer
PhD, Physics, PhD, Physics at University of Victoria
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Simon Fraser University
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Ryan Bayes - Postdoctoral Researcher at Queen's University