You have decided to take a look at my research page. Great, thank you for your interest! Here I list all of my noteworthy research projects, starting with the most recently finished one.
gw-signal-tools
2026
A Python package with tools centered around computations
with gravitational waveforms as generated, e.g., from the
LAL waveforms interface gwsignal. This includes the
commonly used noise-weighted inner product, an optimization
routine for said inner product, and most notably an
implementation of Fisher matrices.
Development began as part of my Master thesis.
PyCBC WFErrors Plugin
2025
Plugin for the PyCBC library to incorporate systematic errors in gravitational waveforms models. Developed as part of the "Accounting for the known unknows" paper.
Accounting for the known unknowns: A parametric framework to incorporate systematic waveform errors in gravitational-wave parameter estimation
2025
Proposes a new way to account for systematic errors in gravitational waveform models and thereby also mitigate the associated biases.
Systematic Errors in Gravitational Waveform Models
2025
My Master thesis. It deals with ways to quantify systematic biases in source parameters induced by imperfections in gravitational waveforms. This is mostly investigated using the well-known Fisher matrix formalism.
Systematic Differences in the Source Properties of the third Gravitational Wave Catalog
2023
My Bachelor thesis. It deals with differences in the posterior samples obtained from different waveform models for all gravitational wave events from GWTC-3. This is done using different statistical techniques, such as the Jensen-Shannon divergence or a principal component analysis.