I am interested in large scale spatio-temporal problems in environmental statistics. My previous research involved developing hierarchical Bayesian mixture models for the analysis of Australian daily rainfall at the continental scale. I also investigated methods for modelling multiple nonstationary time series in the spectral domain, as applied to spatial datasets including monthly rainfall and measles epidemiology.
My current research focuses on spatio-temporal flux inversion for trace gases using remotely sensed data.
Year | Title |
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2021 - 2022 | Awarded by: Funding Scheme: Research Opportunities in Space and Earth Sciences (ROSES) |
I am interested in large scale spatio-temporal problems in environmental statistics. My previous research involved developing hierarchical Bayesian mixture models for the analysis of Australian daily rainfall at the continental scale. I also investigated methods for modelling multiple nonstationary time series in the spectral domain, as applied to spatial datasets including monthly rainfall and measles epidemiology.
My current research focuses on spatio-temporal flux inversion for trace gases using remotely sensed data.
Year | Title |
---|---|
2021 - 2022 | Awarded by: Funding Scheme: Research Opportunities in Space and Earth Sciences (ROSES) |