Matthew Price

Matthew Price

Research Fellow in Artificial Intelligence and Imaging

University College London

I am currently a Research Fellow at the Mullard Space Science Laboratory (MSSL), in the University College London (UCL) Space and Climate department. Recently, I completed my PhD at MSSL, where I was also awarded both the Alan Johnstone Award for Outstanding Scientific Achievement and the UCL Mathematics and Physics Postgraduate Research Prize. Fortunately, I was also awarded the Royal Astronomical Society (RAS) Michael Penston Thesis Prize runner-up in the same year. Prior to my doctoral studies I completed an MSci (BA) in Astrophysics (Physical Natural Sciences) at the University of Cambridge, where I was awarded a Clough Scholarship for academic excellence.

My research is focussed around the intersection of probability theory, applied mathematics, and artificial intelligence, with much of my current work aimed towards the development of novel hybrid techniques. Currently I am heading a joint UCL-ARC team into the development of accelerated and differentiable spherical transforms in JAX. Primarily, my scientific application domain is Cosmology, in particular the distillation of statistically principled information from Gravitational Lensing signatures, however my research has found a variety of applications in, e.g. geophysical imaging and medical imaging. Since 2017, I have been a full member of the Dark Energy Science Collaboration, and have held multiple internship positions with the pioneering technology start-up Kagenova.

Interests
  • Artificial Intelligence
  • Probability Theory
  • Inverse Problems
  • Hybrid Techniques
  • Harmonic Analysis
  • Signal Processing
Education
  • PhD in Cosmology and Astro-statistics, 2021

    University College London, MSSL

  • MSci in Astrophysics (Part III), 2017

    University of Cambridge, Fitzwilliam College

  • BA in Natural Sciences (Physical), 2016

    University of Cambridge, Fitzwilliam College

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