I am a group leader in the Berens Lab at the University of Tübingen. I work on machine learning for medical image analysis and have a background in academic research as well as developing machine learning products for medical devices. I have a strong focus on research that can ultimately benefit patient health in a safe and secure way.
After an undergraduate degree in electrical (BSc) and biomedical engineering (MSc) at ETH Zürich, Switzerland, I did a PhD in machine learning for medical image analysis at Imperial College London under the supervision of Prof. Daniel Rueckert. After a post-doc with Prof. Marc Pollefeys at ETH Zürich I joined the Swiss medical device startup Ava, where I eventually became the Machine Learning team lead. In this position, I came to appreciate the need for demonstrably safe machine learning in healthcare.
My research focuses on several aspects of machine learning for medical image analysis, including:
In the winter semester 2021/2022, I am teaching the seminar Machine Learning for Medical Image Analysis