I am Assistant Professor for Health Data Science at the University of Lucerne, Switzerland. I am leading the research group for Machine Learning in Medical Image Analysis which is jointly hosted at the Faculty of Health Sciences and Medicine at the University of Lucerne and the Cluster of Excellence - Machine Learning for Science at the University of Tübingen, Germany.

Please check out our group website for the most up-to-date information!

My main research focus is on developing and applying ML technology for the analysis of medical images. My main research goals are to identify which criteria ML needs to fulfill to be clinically useful and solve the ML problems that prevent us from getting there. Specifically, my group is working on problems like learning from small datasets, robustness and uncertainty quantification, interpretable ML, and generative modelling of large medical datasets.

Short Bio

Since February 2024 I am an Assistant Professor in Health Data Science at the University of Lucerne. From February 2021 I was leading an indepenent research group at the University of Tübingen, a position which I still maintain. Before that I was working in a senior research engineering role at PTC Vuforia, where I focused on research and development of machine learning technology for augmented reality applications. Prior to this, I was a Post-doc at the Biomedical Image Computing Group at ETH Zürich working with Prof. Ender Konukoglu, and before in the Biomedical Image Analysis Lab with Prof. Daniel Rueckert. I completed my PhD in 2016 under the joint supervision of Prof. Andy King and Prof. Daniel Rueckert at King’s College London in the School of Biomedical Engineering & Imaging Sciences (link to PhD thesis). I obtained my Master’s degree in Biomedical Engineering and my Bachelor’s degree in Information Technology and Electrical Engineering from ETH Zürich.