Ramon Winterhalder
Assistant Professor (Tenure-Track) at Università degli Studi di Milano
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolRamon Winterhalder is an assistant professor and machine learning researcher with eight years of experience at the intersection of deep learning and particle physics, currently based in Milan. He develops neural generative models and numerical methods to accelerate and augment physics simulations, combining expertise in Python, C++, PyTorch and TensorFlow with Monte Carlo techniques. His academic trajectory spans leading European institutions (Heidelberg, KIT, UCLouvain) and a PhD in physics, reflecting a strong foundation in theory and computation. Ramon’s work aims not just to apply ML to physics problems but to formally integrate data-driven approaches into standard simulation pipelines, improving both fidelity and efficiency. An often-overlooked strength is his practical focus on deployable algorithms—balancing research novelty with performance and implementability in real-world particle physics workflows.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Physik, Master of Science - MS, Physik at Albert-Ludwigs-Universität Freiburg im BreisgauDoktor (Ph.D.), Physics, Doktor (Ph.D.), Physics at Ruprecht-Karls-Universität HeidelbergImperial College International Diploma, Physik, Imperial College International Diploma, Physik at Imperial College London
German, English, Swedish, French, Italian
Github Skills (21)
python10
particle10
particle-physics10
data-science10
machine-learning10
ml10
latex10
deep-learning10
tensorflow10
physics10
deep-neural-networks10
neural-network10
pytorch8
multimodal-deep-learning8
theano7
Programming languages (3)
Github contributions (5)
ramonpeter/ramonpeter.github.io
Apr 2021 - Jan 2025
Contributions:2 PRs, 156 pushes, 3 branches in 3 years 8 months
ramonpeter/MoINN
Apr 2021 - Nov 2021
Contributions:23 commits, 11 pushes, 1 branch in 6 months
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