I'm a PhD student in mathematical analysis at the Norwegian University of Science and Technology in Trondheim, Norway. My advisor is Franz Luef.
Previously, I received a master degree from the University of Bergen where I wrote my master thesis under the supervision of Erlend Grong and Irina Markina.
My mathematical work revolves around topics related to time-frequency analysis, wavelets, function spaces, and representation theory of locally compact groups.
Below you can find a list of preprints that I have written during the last two years. If you have any comments, suggestions, or ideas for collaboration, please don't hesitate to contact me.
Currently, I'm working on a paper related to what one might call "Affine Quantum Harmonic Analysis" together with Stine M. Berge, Franz Luef, and Eirik Skrettingland. Other than this, I'm writing a survey paper on "Coorbit Theory" that is slowly progressing towards completion.
I find the act of teaching one of the more rewarding aspects of my job, and my own understanding of subjects is greatly amplified through teaching.
In brief, my teaching philosophy is that a lecturer should provide the students with a structured learning environment and motivate students to take an active role in their own learning experience.
In practice, I dedicate time in my lectures for exercise solving and discussions.
A more in-depth discussion of my teaching philosophy can be found in my Teaching Statement
Two highlights of my (modest) teaching career are as follows:
I lectured the course "Mathematical Methods 1" for engineers in the autumn of 2019. The teaching-load was 6 hours per week for 14 weeks.
I've taught several mini-courses on programming languages: I've given lectures on MATLAB at NTNU Ålesund and NTNU Trondheim in person. An online course (in Norwegian) on Python I made at NTNU can be found here.
More detailed information about my teaching experience can be found in my CV
It's important for me to spend time with friends and family "off the clock" to be a more balanced person. With others, I love to watch movies, go hiking/skiing/running, and have insightful (and not so insightful) discussions.
When I'm by myself, I love listening to music and playing the guitar/piano. Since I do so much reading related to my work, I often listen to audio-books and podcasts in my spare time.
When I'm doing neither of those, you will have a good chance finding me exercising, (trying) to cook, or playing video games.
I am constantly trying to learn new stuff, both when it comes to mathematical topics and technical skills. Right now, I'm working on:
Becoming more comfortable with topics within Statistical Learning. This includes both Python libraries as well as theoretical foundations.
Learning React. I've known vanilla JS for some time now, so learning a powerful framework is very exciting.