Background

I am originally from a town called Fredericia in Denmark and I completed my Bachelor's and Master's degrees in Physics at Aarhus University. I have always been fascinated by the Universe and its mysteries, and I have known from a very early age that I wanted to pursue a career in astronomy and cosmology. This led me to pursue a PhD in Cosmology at Aarhus University, where I focused on using machine learning techniques to improve and accelerate cosmological parameter inference.

It was during my PhD studies that I developed my CONNECT framework, which uses neural networks to emulate cosmological observables in order to speed up parameter inferences. This framework has been publicly available since 2022 and has been used by several research groups around the world. I am very proud of this work and I am excited to continue developing and improving the framework in my future research.

Research Interests

My research interests lie primarily in the intersection of cosmology and machine learning. I am particularly interested in using emulators to accelerate cosmological analyses, since the computation of theoretical models can be very time-consuming. By using emulators, we can significantly speed up the analysis process and make it possible to explore larger parameter spaces and more complex models.

I am also interested in the use of machine learning techniques to fully utilise large-scale structure data from current and future surveys. Large-scale structure is a powerful probe of cosmology, but it is also very complex and difficult to model accurately. I believe that machine learning can enable us to extract more information from large-scale structure data and improve our understanding of the underlying cosmological model.

In addition to my work on emulators and large-scale structure, I am also interested in the use of statistical methods in cosmology. I have a particular interest in the use of profile likelihoods, which are a frequentist approach to parameter inference. I have used profile likelihoods in several of my research projects and I believe that they are a very good addition to the more commonly used Bayesian methods.

Exploring alternative cosmological models is another area of interest for me. I am particularly interested in models that can help to alleviate the tensions that exist between different cosmological datasets. One such model that I am currently working on is decaying dark matter, which has shown promise in addressing some of these tensions.

Hobbies

Outside of academia, I enjoy a variety of hobbies. I play a lot of music, both on the drums and the piano, and I have even completed a music education programme in classical percussion before my university studies. I have played in numerous orchestras and bands over the years, and I now focus more on my progressive metal band, Advocacy, where I play the drums.
Besides my more serious musical endeavours, I also find it entertaining to learn to play odd instruments from time to time, so my collection of instruments is quite diverse.

I love to travel and have been fortunate enough to visit many amazing places around the world across five continents. A hobby of mine is to collect miniature figurines of famous buildings and landmarks from the places I visit, so my collection is always growing.