Christoph Hofer
Chief Solutions Architect at AMRAX
Klagenfurt-Villach Area Austria
Summary
👤
Senior🎓
Top SchoolChristoph Hofer is a Chief Solutions Architect and deep learning specialist with a PhD in Computer Science from Universität Salzburg and nine years of experience bridging industry-grade engineering and academic research. He combines production software experience from COPA-DATA with postdoctoral research on topological data analysis, publishing at ICML, NeurIPS and JMLR on the interplay between persistent homology and deep learning. Currently shaping solutions at Metaroom by Amrax® and AMRAX, he translates advanced ML research into practical architectures for real-world applications. Regularly serving as a reviewer for major machine learning conferences, he keeps close to cutting-edge methods while focusing on deployable systems. Based in the Klagenfurt-Villach area, he brings a rare mix of rigorous mathematical training and hands-on product engineering. Notably, his work emphasizes the symbiotic use of topology to make deep models more interpretable and structurally robust.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 1, Doctor of Philosophy - PhD, Computer Science, 1 at Universität Salzburg
Github Skills (28)
python10
machine-learning10
essence10
deep-learning10
gpu10
reusability10
numpy9
acceleration9
autograd9
tensorflow9
neural-network9
tensor9
gpu-acceleration9
scene9
pytorch8
Programming languages (3)
Github contributions (5)
c-hofer/nips2017
Oct 2017 - May 2019
Contributions:64 commits, 6 PRs, 55 pushes in 1 year 7 months
deep-learningnipssignatures
c-hofer/torchph
Aug 2017 - Oct 2020
The essence of my research, distilled for reusability. Enjoy 🥃!
Contributions:2 releases, 262 commits, 19 PRs in 3 years 2 months
pytorchreusabilitytorchessence
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