Full publication list on this SciXplorer link.
First-author publications are listed below and also at a dedicated SciXplorer link.
PTED is a multi-dimensional two-sample test. The test applies in high dimensions, on learned feature representations, at large or small or imbalanced sample sizes, and to any data type on which a distance can be defined.
A framework for fully probabilistic, pixel-level inference of the point spread function directly from astronomical images, enabling principled uncertainty quantification in downstream photometric analyses.
caskade is a Python library for constructing modular, differentiable scientific simulators with automatic parameter tracking and Bayesian inference integration.
Caustics is a GPU-accelerated Python package for strong gravitational lensing forward modelling, enabling fast simulation and inference for large-scale lensing surveys.
AstroPhot is a Python package for simultaneous multi-band, multi-object photometric fitting of astronomical images using automatic differentiation and GPU acceleration.
PROBES-I presents a homogenised catalogue of 3163 deep optical rotation curves with matched multiband photometry for late-type galaxies, enabling precision tests of galaxy structure and dark matter models.
AutoProf is an automated pipeline for extracting non-parametric surface brightness profiles from galaxy images, designed to scale to the large datasets of modern wide-field surveys.
A Bayesian hierarchical analysis of the intrinsic scatter in late-type galaxy scaling relations, separating measurement error from genuine physical scatter and constraining galaxy formation models.
A statistical analysis of the intrinsic scatter in the Radial Acceleration Relation (RAR), placing tight constraints on the universality of the baryonic-to-total acceleration connection in late-type galaxies.