Duncan Watson-Parris
Duncan Watson-Parris is an atmospheric physicist working at the interface of climate research and machine learning to investigate the effect of anthropogenic aerosols on the climate. Using cutting-edge machine learning techniques to combine global aerosol models with novel observational constraints he looks to better understand complex aerosol-climate interactions and improve projections of climate change. He is also keen to foster the application of machine learning to climate science questions more broadly and convenes the Machine Learning for Climate Science session at the European Geosciences Union (EGU), and co-convenes the UN AI for Good ‘Climate Science’ Discovery series. Duncan is an Assistant Professor at the University of California San Diego.
