Hi I’m Marius; I’m an applied mathematician working at the intersection of machine learning and molecular biology. I have recently defended my PhD in Computational Biology (summa cum laude) in the group of Fabian Theis at Helmholtz Munich/Technical University of Munich (TUM). I’m now working as a postdoctoral researcher in the lab of Barbara Treutlein at ETH Zürich (Department of Biosystems Science and Engineering). My postdoctoral work is funded through an EMBO fellowship.
I’m interested in understanding dynamical biological processes through the lens of single-cell genomics. To this end, I develop computational tools and apply them to solve biological questions that arise in processes including development, regeneration and reprogramming. In my postdoc, I’m particularly interested in studying the development of the human brain in organoid model systems, integrating spatio-temporal data across molecular modalities to understand regulatory relationships. In the past, I co-developed CellRank, a framework to study cell fate decision making using multi-view single-cell data including gene expression and RNA velocity, as well as moslin, a method to integrate gene expression with lineage tracing data across time points, and moscot, a method for the spatio-temporal era of single-cell genomics (all in collaboration with fantastic co-workers). You can learn more about my PhD work here: Thesis.
During my PhD, I visited the labs of Dana Pe’er at MSKCC and Mor Nitzan at the Hebrew University of Jerusalem for three months each, funded through an Add-on Fellowship by the Joachim Herz Foundation, the Bayer Foundation and the Munich Center for Machine Learning (MCML). I actively collaborate with these and other groups in my current work.
Postdoc in Computational Biology, since 2023
PhD in Computational Biology, 2023
Technical University of Munich
MSc in Applied Mathematics, 2017
University of Oxford
BSc in Physics, 2016
University of Freiburg