Miles Cochran-branson is a predoctoral research associate and incoming Physics PhD student at the University of Washington focusing on machine learning applications in experimental high-energy particle physics with the ATLAS collaboration. He combines hands-on experience at CERN and in CMS/STAR-related work with solid computational skills in C++ and ROOT, plus applied ML for tau lepton energy-scale studies. A Lawrence University physics grad and former REU participant, he has bridged physics education research and frontline collider analysis, tutoring and developing retrieval-practice models that improved undergraduate learning. Based in Seattle, he brings nine years of analytical and data-focused experience, blending experimental intuition with data science fluency to translate detector-level signals into physics insight.
9 years of coding experience
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at University of Washington
Physics, Elementary Particle Physics, Physics, Elementary Particle Physics at Lawrence University
High School Diploma, High School Diploma at Sacramento Waldorf School
Find the transverse momentum spectrum (energy scale) of the tau lepton in the ATLAS detector using machine learning
Contributions:6 PRs, 167 pushes, 15 branches in 1 year
regressionmomentumtau-leptontaulepton
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Miles Cochran-branson - Predoctoral Research Associate