Summary
Marc Van Der Sluys is an assistant professor in astrophysics and a researcher with 23 years of experience at the intersection of astrophysics, gravitational-wave physics, and scientific computing. He develops and analyzes CPU-intensive physical models—from binary star evolution to galaxy simulations—using C and Fortran on clusters, and applies Bayesian statistics and MCMC for parameter estimation and model selection. His data-analysis expertise spans signal processing for both low- and high-SNR gravitational-wave detectors (LIGO/Virgo and LISA), Monte Carlo methods, and visualization of large datasets. Marc combines academic roles at Utrecht University and Nikhef with long-term public outreach via the hemel.waarnemen.com observing guide, an automated open resource for the Netherlands and Belgium. He is also engaged in sustainable-energy and climate-feedback modelling and explores medical imaging and cognitive modelling as applied research interests. Comfortable bridging rigorous theory, scalable computation, and public communication, he brings a rare mix of hands-on code, statistical depth, and outreach experience.
23 years of coding experience
11 years of employment as a software developer
PhD, Astrophysics, Binary evolution, PhD, Astrophysics, Binary evolution at University of Utrecht
Dutch, English, German, French, Italian, Spanish