Started EU funded project ARTEMIS in January 2024 to build digital twins and improve care for patients with fatty liver disease. Started EU funded project AI-POD in May 2023 to create actionable personalized risk scores by combining high-end photon counting CT data and continually acquired activity data of patients. Selected recent publication: Fetal development of functional thalamocortical and cortico–cortical connectivity, Cerebral Cortex, 2022; bhac446.
Research Experience
Worked as a post-doctoral associate at the Applied Mathematics and Systems Laboratory at Ecole Centrale de Paris, and the GALEN Group at INRIA-Saclay, Ile de France with Nikos Paragios from 2007 to 2008. He was a Research Scientist at Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology from 2009 to 2011, and joined the Faculty of Medical University of Vienna in 2011.
Education
Studied Mathematics at Vienna University of Technology, and finished his PhD in Computer Vision at Vienna University of Technology and Graz University of Technology in 2007.
Background
Research interests include neuroimaging, machine learning and medical image analysis, particularly: machine learning in medical imaging, computational neuroscience, bridging imaging phenotypes and biological mechanisms, and learning from large scale heterogeneous clinical data.
Miscellany
Also affiliated with the Medical Vision Group at CSAIL, Massachusetts Institute of Technology, where he works in the group of Polina Golland.