Manuel Günther
Assistant Professor at Universität Zürich | University of Zurich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolManuel Günther is an Assistant Professor in AI and Machine Learning at the University of Zurich with 11 years of research and engineering experience bridging classical image processing and modern deep learning. He teaches deep learning, has supervised seven PhD students and over 60 bachelor/master theses, and is planning a transition to a professorial role after June 2026. His work focuses on robust, fair and explainable image-based AI—especially on face and medical imagery—while developing evaluation metrics and defenses against unexpected inputs and attacks. Practically minded, he has contributed to C++ and Python open-source toolchains (including Bob and Caffe optimizations) and now implements PyTorch libraries such as Gabor wavelets and tools for evaluating algorithms under unknown inputs. He often combines traditional feature-based methods with deep neural networks to improve interpretability and robustness, reflecting a long-standing commitment to reproducible, production-ready implementations.
11 years of coding experience
4 years of employment as a software developer
Diplom-Informatiker, Computer Science, 1.8, Diplom-Informatiker, Computer Science, 1.8 at Technische Universität IlmenauDr.-Ing., Biometry/Biometrics, Dr.-Ing., Biometry/Biometrics at Ruhr-Universität Bochum
German, English, French
Github Skills (135)
image-processing10
computer-vision10
caffe9
python9
weibull9
opencv9
gtk9
deep-learning9
meta9
machine-learning9
calibration9
biometrics9
h5py9
adversarial-learning8
pythonic8
Programming languages (6)
Github contributions (5)
AIML-IfI/openset-imagenet-comparison
Nov 2022 - Jan 2024
Contributions:4 PRs, 21 pushes, 5 branches in 1 year 2 months
bioidiap/bob.io.base
Jan 2015 - May 2016
Contributions:40 pushes, 8 tags, 2 comments in 1 year 4 months
bobframework
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.