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Manuel Günther is an Assistant Professor at the University of Zurich, where he focuses on Artificial Intelligence and Machine Learning. He received his diploma in Computer Science with a specialization in machine learning from the Technical University of Ilmenau in Germany in 2004. His doctoral thesis, completed in 2012, was written at the Institute of Neuroinformatics at the Ruhr University of Bochum, where he explored statistical extensions of Gabor graph-based techniques for face detection, recognition, and classification. Following his doctorate, he worked as a postdoctoral researcher in the Biometrics Group at the Idiap Research Institute in Martigny, Switzerland. In this role, he was a leading developer of an open-source signal processing and machine learning library, Bob, and conducted biometric recognition experiments. From 2015 to 2018, Prof. Günther served as a Research Associate at the University of Colorado Springs, where he developed algorithms for alignment-free classification of facial attributes from single images. His research interests encompass not only face recognition and classification of unknown samples but also deep learning and adversarial samples. He advocates for reproducible research practices in artificial intelligence to enhance the reliability and transparency of research findings.
Department of Law