About me

I am a postdoctoral researcher specialising in the data-driven modelling of biophysical problems, such as cell mechanics and cell motion, at the Technical University Dortmund. I previously obtained a PhD in Biophysics at the University of Cologne, with a specialisation in advanced data analysis. The objective of this study is to explore advanced data analysis for traction force microscopy and data-driven discovery of physical equations. Thereafter, I assumed the role of a postdoctoral researcher at the Helmholtz-Zentrum Hereon, where I engaged in research pertaining to a symmetrical and physically constrained neural model for the solution of partial differential equations. Subsequently, I held a postdoctoral position at Ludwig Maximilian University of Munich, where I specialised in stochastic automatic differentiation for Monte Carlo processes.

I am interested in the quantification of uncertainty in the context of inverse ill-posed problems, with specific reference to image reconstruction and the identification of governing equations (ODEs, PDEs and SDEs). The approach to be adopted involves the utilisation of deep learning, Bayesian methods, optimisation algorithms, and information theory.