We work on robust, identifiable and interpretable machine learning tools for scientific inference.
We build machine learning algorithms for representation learning and inference of nonlinear system dynamics. We apply these algorithms to model complex biological systems in neuroscience, cell biology and other life science applications.
The lab will open in Munich in February 2024. We are hiring for fully-funded PhD, postdoc and research engineering positions, and also welcome undergraduate and Master’s students to apply for research visits, internships and research assistant positions! If you are interested in representation learning algorithms and/or their applications, please reach out!
The lab works on robust, identifiable and interpretable machine learning tools for scientific inference. We work on both core machine learning topics and the application of machine learning algorithms for scientific inference in the life sciences. Our research focus is on:
The following is a list of key publications within these focus areas. For a full list of publications, see the research sections.
We are hiring at all levels (BSc, MSc, PhD) for a range of positions. If you are interested in applying, please read through the following open positions, and reach out.
Last section update: November 15, 2023