Michael Kagan
Senior Staff Scientist at THE Port association
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolMichael Kagan is a Senior Staff Scientist and Panofsky Fellow turned leader at SLAC and Stanford, applying 11+ years of experience in experimental particle physics to hunt for new particles in ATLAS data while integrating machine learning and deep learning into core analysis workflows. He combines deep expertise in large-scale data analysis, pattern recognition, and silicon pixel detector design with hands-on C++ and Python development, and practical familiarity with tools like ROOT, scikit-learn, and Keras. Based in Geneva and embedded at CERN, he bridges accelerator-scale experimental work and modern ML methods to push both detector performance and discovery potential. As co-founder of THE Port association he translates technical proofs-of-concept into humanitarian and development settings via hackathons—an uncommon cross-disciplinary application of high-energy techniques. Trained at Harvard (Ph.D.), he pairs rigorous academic physics with production-minded software and data-quality monitoring practices.
11 years of coding experience
9 years of employment as a software developer
B.S. Physics Mathematics, B.S. Physics Mathematics at University of MichiganPh. D. Physics, Ph. D. Physics at Harvard University
English, French
Github Skills (25)
pytorch10
python10
data-science10
machine-learning10
deep-learning10
tensorflow9
jax9
latex8
neural-network8
particle-physics8
particle8
physics6
java5
jet3
tomography2
Programming languages (4)
Github contributions (5)
makagan/Xhh4bUtils
Nov 2015 - Jul 2016
Contributions:35 pushes, 2 branches in 8 months
operatehistograms
ml-slac/RNNIPTag
May 2016 - Oct 2016
Contributions:6 commits, 4 pushes, 2 branches in 5 months
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