Sverker Danielsson is the Programme Director of Mistra Digital Forest, a Swedish research initiative focused on leveraging digital technologies to advance sustainable and efficient forestry practices. With over two decades of experience in industrial research within the bio-based sector, he also serves as Deputy Programme Director at BioInnovation, a strategic innovation programme aimed at accelerating the transition to a circular bioeconomy in Sweden. ​

Prior to his current roles, Danielsson spent nine years at RISE (Research Institutes of Sweden), where he worked closely with pulp mills and their processes. He holds a Ph.D. in pulping technology from KTH Royal Institute of Technology.

Maria Nordström is the Program Manager for Digital Transformation and Forest Planning at Skogforsk, the Forestry Research Institute of Sweden. In this role, she leads initiatives that integrate digital technologies into forestry operations, aiming to enhance decision support systems, remote sensing applications, and data standards for sustainable forest management.

Emilien Valat is a PhD candidate in Engineering at the University of Southampton and a former Enrichment Student at The Alan Turing Institute. His research focuses on applying machine learning to enhance X-ray computed tomography (CT) imaging, aiming to improve image quality while reducing radiation exposure. Additionally, he develops image processing tools for feature detection in black-and-white maps to study urban growth in England. ​

Emilien holds a Master’s degree in Optical Engineering from France and has served as a Research Associate in the Department of Economics at the University of Bristol. His interdisciplinary expertise spans neural networks, pattern recognition, and biomedical imaging. ​ Turing Institute

During his time at The Alan Turing Institute, Emilien contributed to projects that integrate shape priors into CT imaging using machine learning. His work aims to advance medical imaging techniques and provide tools for analyzing urban development patterns.

Villim Prpić is Chairman of the Board at KTH AI Society and a Research Assistant at the House of Innovation, Stockholm School of Economics. He studies Applied and Computational Mathematics at KTH Royal Institute of Technology. Through his work with KTH AI Society, he has contributed to growing the organization’s presence in Sweden, supporting student-led research and development, fostering collaborations with industry, and helping connect students from leading universities with professionals working on real-world AI challenges.