The Computational Resilience Research group investigates the dynamics of resilience at the intersection of modeling, machine learning, and medicine. In an interplay between theory and modern data analysis, we unravel complex processes that prevent or enable resilience. To that end, we work in close collaboration with our experimental colleagues.

Positions held

Since 2024 
Group Leader, Leibniz Institute for Resilience Research, Mainz, Germany

2020-2024 
PostDoc, Circadian Systems Biology, MSH Hamburg & Charité Berlin, Germany

2017-2019 
PostDoc, Computational Neurosciences, Humboldt-University Berlin, Germany

Education

2011-2017 
PhD, Theoretical Biology, Humboldt-University Berlin, Germany

2007-2011 
Diploma, Physics & Cognitive Sciences, École Normale Supérieure Paris, France 
Master of Science, Theoretical Physics of Complex Systems, University Pierre-et-Marie-Curie Paris, France 
Bachelor of Science, Physics, École Normale Supérieure Paris, France

2005-2007 
Vordiplom (intermediate diploma), Mathematics, Goethe University Frankfurt, Germany  
Study of Physics, Goethe University Frankfurt, Germany