Trystan Surawy-Stepney

Trystan Surawy-Stepney


I am a PhD student based in the School of Earth and Environment, and working closely with the School of Computing, at the University of Leeds.


I am working on finding applications of advanced computer techniques - deep learning and other machine learning methods - to the wealth of satellite data covering Antarctica and Greenland in order to improve ice velocity and mass balance estimates for ice sheets within the two regions. I am focussing on SAR data, using feature tracking and inSAR processing.


I studied physics at the University of Oxford before spending a year working as a web developer. I then went on to the University of Nottingham from which I graduated with an MSc in mathematics and theoretical physics. My desire to apply my knowledge of maths and computer programming to interesting and socially relevant scientific problems then led to an interest in finding novel ways of quantifying changes to the cryosphere.

Research interests

  • Earth Observation
  • Antarctica & Greenland
  • The Cryosphere
  • Glaciology
  • Artificial Intelligence
  • Data Science
  • SAR Data
  • Ice Speed
  • Mass Balance 
  • Sentinel-1


  • BA, Physics, University of Oxford
  • MSc, Mathematical Physics, University of Nottingham

Research groups and institutes

  • Institute for Climate and Atmospheric Science