Oliver Mortensen

Oliver Mortensen is a PhD Fellow (Research Fellow) at the Machine Learning Section, Department of Computer Science (DIKU), University of Copenhagen, Denmark. He is affiliated with the university’s Faculty of Science and participates in the cross-faculty SCIENCE AI Centre, a strategic initiative to advance artificial intelligence research and applications.

Research Interests

Mortensen’s research lies at the intersection of machine learning, quantum computing, and neuro-symbolic AI. His work spans both theoretical foundations—such as entropic risk optimization in reinforcement learning and Riemannian generative models—and highly applied domains including medical AI, recommender-system fairness, and brain-computer interfaces. A recurring theme is trustworthy AI, where he investigates explainability, fairness, and sustainability across large language models and clinical decision-support systems.

Scientific Contributions & Trends

Across more than 60 peer-reviewed contributions (2024-2025), Mortensen demonstrates a clear trajectory toward hybrid quantum-classical algorithms, energy-efficient AI, and human-centric evaluation. His publications integrate rigorous theoretical guarantees with empirical validation on real-world data from electronic health records, satellite imagery, and conversational corpora.

Collaborations & Resources

He carries out his doctoral research under the supervision of Professor Yevgeny Seldin within DIKU’s vibrant Machine Learning Section. The group offers access to a dedicated high-performance compute cluster, the SCIENCE AI Centre’s GPU/TPU pools, and interdisciplinary ties to life-science, geoscience, and humanities researchers across the university.