Ryan Hossaini

Ryan is a Reader in Atmospheric Chemistry in LEC. He has over a decade of experience developing and applying process-based models to understand changes in the chemical composition of Earth’s atmosphere. He has worked extensively on stratospheric ozone layer depletion, climate, and air quality, and his work utilises a large range of atmospheric observations from satellite, aircraft and surface platforms. His group are currently exploring (a) advanced statistical methods to improve the skill of air quality forecasts, (b) machine learning methods to help interpret ‘big’ climate data, and (c) extreme value theory to characterise UK air quality.