Liesbet Geris is professor in Biomechanics and Computational Tissue Engineering at the University of Liège and KU Leuven in Belgium.  Her research focusses on the multi-scale and multi-physics modeling of skeletal tissue engineering processes. Liesbet is scientific coordinator of Prometheus, a musculoskeletal Tissue Engineering platform. She has received an ERC starting grant and 2 ERC consolidator grants to finance her research and has received a number of young investigator and research awards. She is the current executive director of the Virtual Physiological Human Institute, advocating the use of in silico modeling in healthcare through liaising with the clinical community, European Commission and Parliament, regulatory agencies and patients.

Dr Jelena Ninic is an Associate Professor in Digital Engineering in the School of Engineering at the University of Birmingham, UK from 2022. She obtained her PhD degree in 2015 in the field of numerical modelling of mechanised tunnelling at the Ruhr-University Bochum, Germany. In 2016 she obtained Marie Curie individual fellowship SATBIM at the University of Nottingham, where she was later appointed as Assistant Professor in Structural Engineering and Informatics in 2018. Her current research focus is on the development and implementation of computational methods and tools to combine advanced numerical methods with novel information technologies to study structural and geotechnical problems.

Sebastian Schöps received the M.Sc. degree in business mathematics in 2008 and the joint Ph.D. degree in mathematics and physics from the University of Wuppertal and the Catholic University of Leuven in 2011. In 2012, he was appointed as an assistant professor at the Technical University of Darmstadt within the interdisciplinary centre for computational engineering. Since 2018, he has been holding the chair of computational electromagnetics at TU Darmstadt. His current research interests include coupled multiphysical problems, bridging computational design and simulation, parallel algorithms for supercomputing, digital twins, uncertainty quantification, and scientific machine learning.