Resume
Academic Achievements
- 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.