Climate and air quality - staff
Staff
Luke Abraham
Yusuf Hamied Dept of Chemistry
Themes and techniques: Atmospheric chemistry, climate , interactions and earth-system modelling (weather, climate)
Alex Archibald
Yusuf Hamied Dept of Chemistry
Themes and techniques: Atmospheric chemistry, biosphere-atmosphere, volatile organic compound (air quality), modelling
Mike Bithell
Department of Geography, Centre for Science and Policy, Cambridge Centre for Data-Driven Discovery
Themes and techniques: Numerical modelling of spatially distributed systems
Carl Henrik Ek
Dept of Computer Science and Technology
Themes and techniques: Uncertainty quantification, bayesian non-parametrics, active learning, approximate Inference (climate)
Hamza Fawzi
Dept of Applied Math and Theoretical Physics
Themes and techniques: Convex optimisation and applications
Jennifer Gabrys
Department of Sociology
Themes and techniques: Air quality, forests, digital social research, interviews, participation
Chiara Giorio
Yusuf Hamied Dept of Chemistry
Themes and techniques: Exploring the present and past of the earth's atmosphere using advanced analytical tools
Michael Herzog
Dept of Geography
Themes and techniques: Development of atmospheric models from local to global scales, modelling of convective clouds and plumes, role of convection in the climate system, understanding of the hydrological cycle, understanding of the role of aerosols, impact of aerosols on dynamical and microphysical processes
Mateja Jamnik
Department of Computer Science and Technology
Themes and techniques: Artificial intelligence, reasoning and machine learning, explainability (climate)
Ali Mashayek
Department of Earth Sciences
Themes and techniques: Climate Dynamics, Geophysical Fluid Dynamics, Marine Ecosystems, Data Science
Tracy Moffat-Griffin
British Antarctic Survey
Themes and techniques: Space, polar science, weather
Carl Rasmussen
Dept of Engineering
Themes and techniques: Inference and learning in non-parametric models, and their application to problems in non-linear adaptive control
Carola-Bibiane Schönlieb
Dept of Applied Math and Theoretical Physics
Themes and techniques: Nonlinear PDEs, inverse problems in imaging, sparse regularisation, machine learning for inverse problems
Emily Shuckburgh
Dept of Computer Science and Technology
Themes and techniques: Communication and public attitudes to climate change and climate science, linking climate change and sustainability, improving predictions of future climate change using theoretical approaches, observational studies and numerical modelling, transport and dynamics of the atmosphere, oceans and climate, role of the polar oceans in the global climate system, artificial intelligence, data science, machine learning
Koen Steemers
Dept of Architecture
Themes and techniques: Air quality, biodiversity, buildings, energy, data science, modelling
Liz Thomas
British Antarctic Survey
Themes and techniques: Climate, polar science, modelling
Richard Turner
Department of Engineering
Themes and techniques: Machine learning, computer perception, statistical signal processing, machine learning for climate science
Damon Wischik
Dept of Computer Science and Technology
Themes and techniques: Visualisation (programming languages), simulation (climate)
Eiko Yoneki
Dept of Computer Science and Technology
Themes and techniques: Research methods, social networks, social media, cryptography, simulation, uncertainty quantification