I am a 5th and final-year PhD Candidate working at the Department of Astrophysical Sciences at Princeton University. I am advised by Peter Melchior and David N. Spergel. I work on applying new statistical methods to astrophysics, integrating inductive biases, geometric and physical constraints into well-calibrated Bayesian and Machine Learning models. My main interests are extragalactic, but I am interested in almost all areas of astronomy (e.g., the molecular structure of interstellar dust). My thesis will focus on constructing a link between low-dimensional representations of dark-matter only cosmological simulations and observed galaxy spectra. This will be achieved with data from the Prime Focus Spectrograph (PFS), which I optimize by understanding and using the emission of the atmosphere itself (airglow) to improve the instrument calibration.

As you may be able to tell, I love integrating my science vertically, from instruments to analyses. In short, I like modelling and measuring (astronomy-related) things, so if you have problems meeting any of these criteria, I will be excited to work with you!

Outside of PFS, I am also a member of the Learning the Universe (LtU) collaboration and the Legacy Survey of Space and Time Dark Energy Science Collaboration. I am 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 love showing our wonderful universe to the public, and I frequently lead the public observing nights at Peyton Hall, and give outreach talks at Astronomy On Tap Trenton.
Outside of academia, I like all things to do with mountains, oceans, and gardening (I organize the local community garden).
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.

Last updated Oct 11th, 2025.