Hi

I’m a research scientist in Meteorology. My goal is to improve our understanding of the processes that drive the weather so that we can advance weather prediction. We do that by using data assimilation (DA) methods. DA analyzes forecast errors, which are then projected onto corrections of the next forecast’s initial conditions and corrections of the model’s free parameters.

From December 2025, I will work as SMASH postdoc fellow at the University of Ljubljana. Until August 2025, I was working for the DEPENDABLE project at the University of Vienna.

In my PhD (2020-2024), I studied the assimilation of cloud-affected satellite visible and infrared observations to improve convective-scale numerical weather prediction (i.e. small-scale storms). My research has shown (1) that assimilating visible observations can improve storm forecasts to a baseline forecast; (2) that assimilating visible in addition to infrared observations can give a synergistic benefit that is better than either visible or infrared experiments; (3) that nonlinear observation operators lead to deviations of the posterior. The deviations were quantified and may pave the road for a potential nonlinearity correction scheme.

My last talks:

• 25 October 2024: International Symposium on Data Assimilation (Kobe, Japan), see the schedule.
• 7 June 2024: Ambiguity and nonlinearity in the assimilation of visible and infrared observations. ISDA seminar series (online), see the recording.

My latest publications.

Last edit: 9 August 2025

Theses

See my CV, PhD thesis, MSc thesis, and BSc thesis.