Saez-Rodriguez Group

Systems Biomedicine

Fabian Fröhlich

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.

Research Interests

I am generally interested in building mechanistic models of intracellular signal transduction. I develop methods for the scalable formulation, training and interpretation of these models. This includes work on efficient gradient computation, reliable optimization, model build from knowledge graphs and causal analysis of ODE models. I apply these methods to models of cancer related signaling to predict drug sensitivity to targeted anti-cancer therapies. Specifically, I am interested in better understanding and rationalizing the design of drug combinations and individualized predictions from omics and imaging data. More recently, I have been developing hybrid models that combine machine learning with mechanistic models to consolidate known and unknown biology.

Professional Career

2022 - present Postdoctoral Fellow, Institute of Computational Biomedicine, Heidelberg University, Heidelberg, Germany,
2018 - present Postdoctoral Fellow, Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
2013 - 2018 PhD Candidate, Institute for Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany

Education

2013 - 2018 PhD in Mathematics, Technische Universität München, Munich, Germany
2011 - 2013 MSc in Mathematics in Bioscience, Technische Universität München, Munich, Germany
2008 - 2011 BSc in Mathematics, Technische Universität München, Munich, Germany