Summary
Will Gregory is a postdoctoral research associate at Princeton University specializing in polar climate and machine learning, with eight years of experience bridging geophysics and data-driven climate science. He studies how natural and anthropogenic processes drive changes in sea ice and works on predicting those changes from days to decades using ML applied to large-scale remote sensing. His background spans a PhD in Polar Climate and Machine Learning (UCL), an MS in Petroleum Geophysics (Imperial), and industry experience as a geophysicist, giving him both observational and applied modeling insight. At Princeton he contributes to the M2LInES initiative, translating research into improved sea ice representations for climate models. Notably, he combines domain expertise with practical geophysics skills, enabling novel approaches to predictability that leverage both physical understanding and modern ML.
8 years of coding experience
Master of Science - MS, Petroleum Geophysics, Distinction, Master of Science - MS, Petroleum Geophysics, Distinction at Imperial College London
Bachelor of Science - BS, Geology with Geophysics, 1st class, Bachelor of Science - BS, Geology with Geophysics, 1st class at University of Leicester
University College London