Christian Igel

Christian Igel is a Professor at the Department of Computer Science, University of Copenhagen, and serves as director of the SCIENCE AI Centre. He is also a co-lead of the Pioneer Centre for Artificial Intelligence in Denmark. His academic journey includes a Doctoral degree from Bielefeld University (2002) and a Habilitation degree from Ruhr-University Bochum (2010). Igel is a Juniorprofessor (2002–2010) and has held editorial roles at journals like KI - Künstliche Intelligenz and Artificial Intelligence Journal.

• Doctoral degree: Faculty of Technology, Bielefeld University, Germany (2002)
• Habilitation degree: Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany (2010)

His research spans Machine Learning, focusing on Support Vector Machines, Evolution Strategies, Reinforcement Learning, Deep Neural Networks, and PAC-Bayesian Analysis. He applies these methods to Environmental Monitoring, Medical Diagnostics, and Climate Research.

Recent publications highlight work on adversarial machine learning, environmentally sustainable AI, and tree resource mapping using deep learning. His scientific awards include being a ELLIS Fellow. Igel’s software tools like Shark, woody, and Multi-Planar UNet are widely used in research and industry.

Notable grants and collaborations involve projects with European Lab for Learning and Intelligent Systems (ELLIS), SCIENCE AI Centre, and international teams in Denmark, Germany, and France. His lab leadership emphasizes open-source frameworks and reproducible research.

• Editorial Roles: German Journal on Artificial Intelligence, Evolutionary Computation Journal, Artificial Intelligence Journal
• Software Projects: Shark, woody, Multi-Planar UNet, U-Time
• Collaborations: SCIENCE AI Centre, Pioneer Centre for Artificial Intelligence, European Lab for Learning and Intelligent Systems