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 Postdoctoral researcher in the department of Mathematics at KTH. He has a PhD in engineering from Southampton University and worked at Bristol and Cambridge Universities prior to his present employment.

His current interest include X-ray Computed Tomography (CT) and machine learning for forestry. In collaboration with Luleå Tekniska Universitet, he is working on the integration of machine-learning techniques in the sawmill. More specifically, he is working on interfacing the CT reconstruction of logs with post-processing techniques such as knot segmentation and individual-log grading.

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.