Generating Advances with AI for Neutrons/X-rays co-leader of WG3 (AI for knowledge)LINXS Fellow

Professor at KTH

Ozan is a Professor of Mathematics at KTH – Royal Institute of Technology. He is an applied mathematician who has spent the past 25 years developing theory and algorithms for large-scale ill-posed inverse problems in tomography, microscopy, and structural biology. After starting in pure mathematics, his work shifted toward computational methods driven by real-world needs in science, medicine, and industry. Since 2014, he has led KTH’s interdisciplinary Mathematical Imaging Science group, including collaborations with industrial partners to develop AI models for tomographic imaging systems. This gives him deep expertise in physics-informed AI for tomography, directly relevant to WG 3. He also led the development of the ODL software framework for inverse problems, integrating high-performance computing libraries with deep learning tools (https://github.com/odlgroup/odl). Öktem also brings extensive leadership experience from senior roles at KTH, including strategic coordination for the Center for Industrial and Applied Mathematics (2009–2017) and leadership of KTH’s Life Science Technologies platform (2012–2018). He has a strong track record of building collaborations and launching new research directions, further strengthened by his visiting professorship at the University of Cambridge and the Alan Turing Institute (2018–2019). In addition, he worked for over 15 years with R&D in Swedish industry, ranging from financial risk control and biomedical imaging to computational software. Altogether, his combination of research profile and leadership skills makes him highly suited to lead WG 3.