I am an Assistant Research Professor at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge.

I completed my PhD at the University of Klagenfurt, and have since held postdoctoral positions at the University of Graz and the Max Planck Institute for Solar System Research.

My research lies at the intersection of regularization theory, nonlinear dynamical inverse problems, and data-driven methods. I was awarded the GIP Prize on Inverse Problems for the best PhD thesis in inverse problems across German-speaking countries (2020–2022).

Broadly, I explore:

• Regularization and novel reconstruction: all-at-one, bi-level, one-shot strategies
• Partial differential equations: nonlinear, time-dependent, well-posedness
• Inverse problems in PDEs: parameter estimation, model discovery
• Machine learning: data-driven physics, discretization by neural networks
• Data assimilation: real-time estimation, model reference adaptation
• Passive imaging: random media, correlation-based techniques

My work is inspired by a range of applications:

• Medical imaging: magnetic particle imaging, Landau-Lifshitz-Gilbert eq.
• Cell biophysics: traction force microscopy, hyperelasticity, active force densities, Stokes equations
• Helioseismology: solar differential rotation, viscous-inertial wave modeling
• Reaction-advection-diffusion: hidden nonlinear laws, Fisher eq., Lane-Emden eq., Zeldovic-Frank-Kamenetskii eq.
• Aeroacoustic: source detection, optimal experimental design
• Heat phenomena: inverse heat source, optimal sensor placement

Come take a peek at my personal homepage to see what I’ve been working on!