contextflow can put into practice exciting machine learning to capture relationships in patient populations relevant for individual treatment decisions
Georg speaks nerdish…and we love him for it! Just consider the following: he 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. He then 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, before becoming a Research Scientist at the Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology. He returns to MIT every summer as a Research Affiliate developing methodology for analysing functional brain architecture from neuroimaging data. In 2011 Georg joined the Faculty of the Medical University of Vienna where he is also Head of the Computational Image Analysis and Radiology Lab (CIR). He reviews for several conferences and journals, among them IEEE Transactions on Pattern Recognition and Machine Intelligence and IEEE Transactions on Medical Imaging. As Co-Founder and Chief Scientist at contextflow, he serves as the head of research and academic ambassador at conferences worldwide.
Favorite meal: Spaghetti Carbonara
Recommended reading: Neuromancer by William Gibson
People would be surprised to learn…that I’m a pretty decent amateur photographer.
If I wasn’t working as Chief Scientist, I would be…anything involving expeditions.
Most rewarding part of my job: solving a tricky puzzle together