Erik Buhmann
Data & AI Scientist Personalized Computational Genomics
Greater Hamburg Area Germany
Summary
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Senior🎓
Top SchoolErik Buhmann is a Data & AI Scientist with a PhD in particle physics and eight years of experience applying generative machine learning to large-scale scientific problems. He developed computationally efficient generative models for 2D/3D images and sensor data during his doctoral work, enabling fast particle detector simulations and collaborations with MIT, DESY, LLNL and CERN. Now at BioNTech he applies that expertise to personalized computational genomics, bridging high-performance ML research and applied biotech. Erik is proficient in Python and PyTorch, has co-authored 10+ papers and delivered 15+ international talks, and has supervised student projects translating research into reproducible code. Beyond academia, his internship at CTBTO highlights a track record of turning advanced models into practical detection tools across domains. Colleagues value his clear communication, international teamwork experience, and knack for squeezing performance from generative models without sacrificing fidelity.
8 years of coding experience
5 years of employment as a software developer
Master of Science, Physics, Master of Science, Physics at University of HamburgPhysics, Physics at University of TorontoDoctor of Philosophy - PhD, Elementary Particle Physics, summa cum laude, Doctor of Philosophy - PhD, Elementary Particle Physics, summa cum laude at Universität Hamburg
German, EnglishProgramming languages (2)
Github contributions (5)
erum-data-idt/pd4ml
Dec 2020 - Jan 2023
Contributions:1 review, 68 commits, 25 PRs in 2 years 1 month
FLC-QU-hep/CaloClouds-2
Sep 2023 - Feb 2024
PyTorch implementation of the CaloClouds II model introduced in https://arxiv.org/abs/2309.05704
Contributions:2 PRs, 3 pushes, 1 issue in 4 months
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