Axel Faes is a postdoctoral researcher in Biomedical Data Sciences at Hasselt University, where he is technical machine learning lead and scientific coordinator of the Flanders AI Research Program’s Real World Evidence use case. He holds M.Sc. degrees in Computer Science Engineering and Artificial Intelligence from KU Leuven, where he also completed a PhD in Biomedical Sciences on finger movement decoding using tensor regression modeling. His work bridges computational neuroscience, brain-computer interfaces, and federated learning for multi-modal biomedical and health data, contributing to the development of innovative AI methods that advance biomedical research and clinical practice as part of #LeadingAIinHealth.