Machine Learning


We work on a variety of topics related to Machine Learning in the context of computational biology. We apply existing state-of-the-art Machine Learning algorithms and develop novel methods tailored towards solving complex biological and medical questions. Our current focus lies on the analysis of heterogeneities in single cell profiles e.g. from single cell transcriptomics.

Development of Computational Methods

Data analysis and Benchmarking

Spatial transcriptomics and Imaging