My work is focused on the development of software for analysing astrophysical images. In particular, I design tools for solving inverse optimisation problems using regularisation techniques such as sparsity and the low-rank approximation. One example being the problem of deconvolving the effects of a telescope's PSF from galaxy images (read more...).
I am involved in the COSMIC project where we are developing tools that can be used for both astrophysical and magnetic resonance imaging. There is a lot of overlap between the types of problems that need to be solved in both fields and this project has provided an exciting and fruitful platform for cross-disciplinary collaboration.
I am also a member of the Euclid Constortium where I aim to apply some of the techniques to improve galaxy shape measurements and calibration.
Prior to joining the CosmoStat team my work was primarily focused on the optical detection and analysis of clusters of galaxies using photometric redshifts. During my PhD I developed a prototype friends-of-friends optical cluster detection algorithm that was further refined and optimised during postdoc positions in Barcelona and Trieste. I also designed serval metrics and analysis codes for comparing the relative performance of various different cluster detection codes on Euclid mock galaxy simulations.
Check out my website for more information.