Matt completed his PhD at MSSL. For his PhD thesis he won the UCL Maths and Physical Sciences (MAPS) Postgraduate Prize, won the MSSL Alan Johnstone Award for Outstanding Scientific Achievement by Research Student, and won the Royal Astronomical Society (RAS) Michael Penston Thesis Prize runner-up.

Matt’s research is focused around the intersection of statistics, applied mathematics, and artificial intelligence, with much of his current work aimed towards the development of novel hybrid techniques. Primarily, the scientific application domain of his research is cosmology, in particular the distillation of statistically principled information from Gravitational Lensing signatures. Due to the nature of astro-informatics, his research has found tangential applications in geophysical imaging and medical imaging.

Since 2017, he has been a full member of the Dark Energy Science Collaboration, and has held multiple internship positions with the technology startup Kagenova.