I was born and raised in Aarhus where I spent all my life until graduating from Aarhus University with a master’s degree in Geophysics. For a period of six months I did however complete my compulsory military service in the city of Herning. I then enrolled at the University of Copenhagen where I recently finished my PhD dissertation in Computational Geophysics. During this period, I also enjoyed 5 months abroad as an exchange student at the Norwegian University of Science and Technology. I have a genuine interest in understanding the fundamentals of the Earth’s history and its dynamics. In the PhD work, this interest was expanded to cover the solution of geophysical inverse problems and geostatistics. I am currently employed at the Geological Survey of Denmark and Greenland as a postdoc.

As a graduate student, I combined my studies with working and other commitments. In achieving this, I have shown myself to be very self-motivated, committed and determined in achieving my goals. Throughout my studies I have also demonstrated negotiating and organizing skills, especially during a two year period as chairman of the Geoscience student group board. I have a firm sense of responsibility and a capacity to work hard under pressure, which was put to extreme test during my time as a firefighter. I possess great verbal and written communication skills and I am generally able to relate to a wide range of people, as proven by my varied work experiences: in coaching, teaching, fresher repping, cleaning, logging trees and moving furniture.

2015-2018: PhD in Computational Geophysics at the University of Copenhagen

Thesis advisor: Thomas Mejer Hansen (KU) (tmeha@nbi.ku.dk). Thesis title: Probabilistic Linear Inversion of Reflection Seismic Data.

2012-2015: Master’s degree in Geophysics from the University of Aarhus

Thesis advisors: David L. Egholm (AU) (david@geo.au.dk) and Kenni D. Petersen (AU) (kenni@geo.au.dk). Thesis title: Design and development of a 2D geodynamic computer model – application on convective mantle processes, global bathymetry and oceanic heat flow datasets.