I am a 3rd-year PhD Candidate working at the Department of Astrophysical Sciences at Princeton University advised by Peter Melchior and David N. Spergel. I work on applying Machine Learning and new statistical methods to astrophysics, preferably where they have never been tried before. My main astrophysical interests are extragalactic, but I am widely interested in almost all areas of astronomy. My thesis will focus on constructing a link between low-dimensional representations made from dark-matter only cosmological simulations and observed galaxy spectra.
I am currently affiliated with multiple research groups including the Astro Data Lab, led by Peter Melchior, and the Cosmology x Data-science group at the Flatiron Institute led by Shirley Ho.

I am currently a member of the Prime Focus Spectrograph (PFS) spectroscopic survey collaboration, the Learning the Universe (LtU) collaboration and the Legacy Survey of Space and Time Dark Energy Science Collaboration (LSST-DESC).

Originally from Denmark, I obtained my Bachelor’s degree from the Niels Bohr Institute at the University of Copenhagen in 2021, with a thesis on Neutrino Detection in IceCube.

Currently, I can be found in the infamous graduate student basement in Peyton Hall in Princeton, or at the Center for Computational Astrophysics (CCA) in New York City.

I am very passionate about showing our wonderful universe to the public, and I frequently lead the public observing nights at Peyton Hall, and I give outreach talks at Astronomy On Tap Trenton.

Outside of academia, I like rock climbing, gardening and all kinds of surfing. I even like gardening so much that I have ended up being the coordinator of my local community garden.