Professional summary

Sam has expertise in modelling emissions for atmospheric chemistry transport analysis (air quality and pollutant deposition), across multiple spatiotemporal scales. He has created and worked with methods to produce emissions data important to furthering the understanding of sources and mitigation of air pollutants and greenhouse gases, including fine-scale temporal modelling and predictive models.

Sam also has an interest in long timescales for effects analysis, including recreating 250 years of air quality and land use in the UK, predominantly to investigate the concentration of metals in soil and life-long pollutant exposure in humans.

Sam has a strong background in spatial analysis and the use of open source software to publish reproducible workflows and further integrated science.