Christian Knabenhans
Research Intern at EPFL (École polytechnique fédérale de Lausanne)
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolChristian Knabenhans is a doctoral student in security and privacy at EPFL with eight years of hands-on experience building privacy-preserving systems using techniques like fully homomorphic encryption and zero-knowledge proofs. He has blended academic research with industry exposure—serving as a research assistant at ETH Zürich, interning in cryptography at Brave, and contributing to applied security tooling during a security internship at Airlock. As Lead Research Scientist at EthonAI (per GitHub bio) he bridges cutting-edge privacy research and practical deployments, with a track record of moving proto‑research into usable prototypes. Active in student leadership, he previously led ETH Cyber Group to connect academia, industry, and government on cybersecurity education and events. Based in Zurich, Christian combines deep cryptographic knowledge with experience in both offensive and defensive security work, making him adept at turning formal methods into auditable, real‑world systems.
8 years of coding experience
1 year of employment as a software developer
Exchange, Computer Science, Exchange, Computer Science at University of WashingtonBaccalauréat Scientifique, Spécialité Sciences de l'Ingénieur, Baccalauréat Scientifique, Spécialité Sciences de l'Ingénieur at Lycée Paul-Émile Victor (France)Joint MSc, Cyber Security, Joint MSc, Cyber Security at EPFLJoint MSc, Cyber Security, Joint MSc, Cyber Security at ETH Zürich
French, German, English, German
Github Skills (10)
recurrent-neural-networks8
python8
zxing7
pytorch7
deep-learning7
neural-network6
cpp4
monte-carlo2
bayesian2
inference1
Programming languages (3)
Github contributions (5)
chrhenning/posterior_replay_cl
Mar 2021 - Apr 2022
Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.
Contributions:1 release, 6 commits, 7 pushes in 1 year 1 month
chrhenning/hypnettorch
Oct 2021 - Apr 2022
Package for working with hypernetworks in PyTorch.
Contributions:1 review, 18 commits, 1 PR in 6 months
pytorchdeep-learninghypernetworkshypernetspython
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