Shadi Albarqouni is an AI Young Investigator Group Leader at Helmholtz AI and TUM Junior Fellow at TU Munich. Previously, he worked as a Visiting Scientist at Imperial College London and ETH Zurich, and as a Senior Research Scientist & Team Lead at Technical University of Munich (TUM). Albarqouni has more than 100 publications in both Medical Imaging Computing and Computer-Assisted Interventions published in IEEE TMI, IJCARS, IPMI, MICCAI, IPCAI, ISBI, ICCV, BMVC, and ICRA. He serves as a reviewer for many journal IEEE TMI, IEEE JBHI, IJCARS, and Pattern Recognition. Since 2015, he has been serving as a PC member for a couple of MICCAI workshops. He has been serving as an Area Chair at MICCAI since 2019. His current research interests include Interpretable ML, Robustness, Uncertainty, and recently Federated Learning. He is also interested in Entrepreneurship and Startups for Innovative Medical Solutions. His goal is to help everyone in the world to get better healthcare services with the assistance of Informatics and computer science. https://albarqouni.github.io/