Hi, I'm Jonas!
Welcome to my personal webpage.
I’m a cosmologist/astrophysicist, currently as a postdoc at the University of Insubria in Como, Italy. Before that I was a PhD student at the University of Stavanger in Norway (supervised by Germano Nardini) and before that I studied at RWTH Aachen University in Germany.
Most of the time I’m a pretty chill dude and I enjoy all kinds of outdoor and extreme sports, such as hiking, climbing, skiing, surfing, skydiving, you name it. I also love to travel and explore new places, especially in the mountains.
Work-wise, what I’m doing can broadly be summarised as: I take slow-to-compute problems and make them fast. For this, I’m using machine learning and differentiable programming to speed up Bayesian inference for cosmology and gravitational wave detection. I also work on cosmological simulations and data analysis for Pulsar Timing Arrays (PTAs). I’m a member of the LISA Consortium, where I develop a simulation code to model the gravitational wave background from enhanced curvature perturbations arising during inflation and tools for accelerated Bayesian inference of astrophysical sources. I’m also part of a member of EAS and DPG.
Currently, I am working on three main topics:
- Machine learning for Bayesian Inference: I am developing GPry, a new method to perform Bayesian inference using Gaussian Process Regression and active sampling to create a surrogate model of the posterior function. This method is particularly useful for slow likelihoods, such as those arising in cosmology and astrophysics.
- Reconstructing Curvature Perturbations via SIGWs: As part of the LISA Cosmology Working Group, I am developing SIGWAY, a simulation code to model the gravitational wave background from enhanced curvature perturbations arising during inflation.
- Fast PTA inference: I recently started working on Pulsar Timing Array (PTA) data analysis as part of EPTA, where I am trying to speed up Bayesian inference for PTAs using the jax-enabled PTA likelihood from Discovery.
Explore: