I obtained my PhD in Mathematics from Technische Universität München, Munich, where I worked in the groups of Jan Hasenauer and Fabian Theis. I developed mathematical methods for the efficient calibration of large kinetic models in the context of stochasticity and cell-to-cell variability and applied them to develop novel approaches for cancer precision medicine. Prior to my PhD work, I received a Master of Science from Technische Universität München in Mathematics in Biosciences.
Since July 2018, I am a Human Frontier Science Program Postdoctoral Fellow in Peter Sorger’s group in the Laboratory of Systems Pharmacology at Harvard Medical School. I am developing methods to construct, calibrate and understand large kinetic models with hundreds to thousands of state variables and parameters. I apply these methods to study adaptive resistance in melanoma where I integrate structural, molecular and omics data to build detailed mechanistic models for precision medicine applications.
In July 2022, I also joined Julio Saez-Rodriguez group as visiting postdoctoral researcher, where I will be working on combinations of mechanistic models with machine learning for model coarse graining and individualization from omics and imaging data.