I am a postdoc specializing in atmospheric dispersion modeling, fluid dynamics, and data science, working at Aarhus University's Atmospheric Modelling Section at the Department of Environmental Science, Roskilde, Denmark.  

My main scientific focus is the development and evaluation of the high-resolution local-scale air pollution model DALM (the DAnish Lagrangian Model) which I started to develop during my Ph.D. DALM is a Lagrangian particle dispersion model, featuring simple chemistry and dry deposition, suitable for long-term model simulations of especially Denmark. 

I am also collaborating with many researchers on several projects involving human exposure to air pollution and related health impact assessments at different spatiotemporal scales. In the future, the new model DALM will hopefully play a larger part in these studies, paving the way for new insights and discoveries about the complex interrelations between air pollution and human health. 

Key qualifications

Fluid dynamics, Lagrangian dispersion modeling, and numerical methods

Data science - programming in R, Python, and Fortran