Philipp Denzel
Machine Learning Researcher at ZHAW Center for Artificial Intelligence (CAI)
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolPhilipp Denzel is a Machine Learning Researcher and computational physicist with 11 years of experience applying deep learning and scientific software engineering to problems in astrophysics, cosmology, medical AI, and AI certification. Trained at the University of Zurich (PhD in Physics, MSc in Computational Science), he blends hands-on development in Python, Cython, CUDA, Fortran and more with large-scale data analysis on supercomputers and satellite/telescope datasets. Currently at ZHAW CAI and SKACH, he develops novel deep learning methods for astronomical observations and interdisciplinary research collaborations. Known for tackling inverse problems and building research-grade software and citizen-science tools, he pairs rigorous academic methods with pragmatic engineering. Adaptable and curious, he is especially drawn to intersections of deep learning, quantum computation and cosmology, and seeks technical challenges that deliver societal impact.
11 years of coding experience
Doctor of natural sciences - PhD, Physics, Doctor of natural sciences - PhD, Physics at University of ZurichMatura, Latin Language and Literature, Matura, Latin Language and Literature at Kantonsschule Freudenberg
German, English
Github Skills (22)
bash10
xmonad10
archlinux10
unix9
linux9
emacs9
zsh9
elisp8
mode-line8
diffusion-models8
gradient-descent8
mbsync5
deep-learning5
raytracing3
simulation2
Programming languages (7)
Github contributions (5)
phdenzel/Karabo-Pipeline
Oct 2022 - Apr 2026
The Karabo Pipeline can be used as Digital Twin for SKA
Contributions:25 pushes, 2 tags in 3 years 7 months
skatwinpipelinedigital-twin
phdenzel/model-zapper
Oct 2018 - Sep 2020
Zapp through GLASS lens models
Contributions:2 releases, 3 pushes, 1 branch in 1 year 11 months
zephyrpythonglassmacos-appanalysis
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