Gregor Kasieczka
Professor For Machine Learning In Particle Physics at University of Hamburg
Hamburg, Germany
Summary
👤
Senior🎓
Top SchoolGregor Kasieczka is a Professor for Machine Learning in Particle Physics at Universität Hamburg with 12 years of experience developing deep learning methods for the CMS experiment at CERN. He combines a strong academic pedigree (PhD summa cum laude from Heidelberg) with hands-on research in anomaly detection, generative models, and robustness to search for exotic new particles at the LHC. His career includes postdoctoral work at ETH Zurich and rapid academic progression from postdoc to junior professor to full professor, reflecting both research impact and leadership. Gregor is known for translating cutting-edge ML techniques into practical tools for high-energy physics analyses, often prioritizing interpretability and resilience to detector effects. An experimentalist at heart with a theoretic rigor, he bridges particle-physics intuition and modern ML engineering to push the frontier of discovery.
12 years of coding experience
4 years of employment as a software developer
Vienna University of TechnologyPhD, Physics, summa cum laude, PhD, Physics, summa cum laude at Ruprecht-Karls-Universität Heidelberg
Github Skills (23)
cms10
plt10
ansible-collections10
capistrano10
church10
backbonejs10
cockpit10
edtech10
eagle10
screeps9
physics8
machine-learning7
deep-learning7
approval-testing6
testing6
Programming languages (4)
Github contributions (5)
gkasieczka/ABK_DL_2019
Apr 2019 - Jul 2019
Contributions:19 commits, 16 pushes, 1 branch in 2 months
erum-data-idt/ClassifierComparison
Apr 2020 - Nov 2020
Contributions:4 commits, 3 pushes, 1 branch in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.