Summary
Olof Mogren is a PhD-trained machine learning researcher and co-founder focused on applying deep learning to climate adaptation and biodiversity monitoring, with 11+ years of experience bridging research and applied engineering. As Head of Deep Learning at RISE and a principal investigator for CLIMES, he leads cross-disciplinary projects that combine computer vision and soundscape analysis with nature-based solutions like rewilding and rewetting. He co-founded Climate AI Nordics to scale regional AI collaboration across 150+ members, translating foundational research into practical tools for mitigation and adaptation. Olof’s background spans industry-grade embedded and web systems to advanced NLP and adversarial deep learning from his Chalmers PhD, giving him a rare mix of production engineering and academic depth. Known for pursuing low-tech and high-tech synergies, he emphasizes deployable, context-aware AI rather than purely theoretical models.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Göteborgs universitet / University of Gothenburg
Doctor of Philosophy - PhD, Machine learning, Doctor of Philosophy - PhD, Machine learning at Chalmers tekniska högskola
Licentiate degree, Computer Science, Licentiate degree, Computer Science at Chalmers University of Technology
German, Swedish, English