Activities under this theme include contributions of statistics & data science to applications in any area of environmental science and engineering, broadly interpreted; as well as methodological developments with potential applications in these fields. Much of the research within this theme is interdisciplinary and collaborative, with strong links to other environmental science groups within and beyond UCL including the UCL Met Office Academic partnership, Earthquake and People Interaction Centre (EPICentre), Centre for Biodiversity and Environment Research and the Department of Geography.
|Richard Chandler (Theme Lead)||Climatology; hydrology; ecology; natural hazards; multimodel ensembles; space-time modelling; statistical downscaling; time series and trends; uncertainty analysis|
|Clair Barnes||Bayesian statistics, uncertainty quantification, environmental statistics, climate & meteorology|
|Francois-Xavier Briol||Gaussian processes; inference for stochastic models; statistical emulators; Bayesian probabilistic numerical methods|
|Petros Dellaportas||Wind speed forecasting, wind turbine performance|
|Alex Donov||Environmental applications of copula theory|
|Jim Griffin||Bayesian nonparametric modelling and analysis of environmental DNA surveys|
|Serge Guillas||Gaussian processes, Uncertainty quantification (emulation, calibration) of complex computer models, functional data, time series|
|Owen Nicholas||Modelling and communicating biodiversity change|
|Paul Northrop||Modelling of extreme values; stochastic modelling of precipitation; multimodel ensembles; applications in hydrology and climatology|
|Dimitra Salmanidou||Tsunami modelling, uncertainty quantification, sensitivity analysis, Bayesian calibration, statistical emulation|
|Emma Simpson||Extreme value analysis; copulas and dependence modelling; spatio-temporal modelling|
|Katerina Stavrianaki||Statistical seismology; stochastic modelling; seismic hazard and rock mechanics|
|Meng Tong||Environmental economics, spatial statistics|
|Hilde Wilkinson-Herbots||Applications of probability, statistics and stochastic modelling to problems in genetics (including population genetics, evolutionary genetics, ecological genetics, forensic applications); epidemic models|
Current and recently funded projects
- 2019-2023: Accelerating Global science In Tsunami HAzard and Risk analysis (AGITHAR). EU COST action, PI Serge Guillas (UK representative and Chair of Working group on Uncertainties).
- 2020-2022: Enabling The Use And Producing Improved Understanding Of EuroCORDEX Data Over The UK. £279K funding from Met Office, PI Richard Chandler.
- 2019-2022: Future Indonesian Tsunamis: Towards End-to-end Risk Quantification (FITTER). £433K funding from Lloyd's Tercentenary Research Foundation, Lighthill Risk Network and Lloyd’s Register Foundation (Alan Turing Institute), PI Serge Guillas.