My role is focussed on leading and contributing to the development and application of novel data science methods to different challenges faced in the the environmental sciences. This involves working with virtual research environments (known as DataLabs) to foster collaboration and bridge the gap between the fields of environmental, computational and data sciences. This work currently comprises part of a major collaborative project with Lancaster University on the Data Science of the Natural Environment (DSNE).
I also have research interests in running uncertainty analysis on a range of numerical models.
I am a meteorologist and atmospheric chemist by background completing my first and second degrees at the University of Leeds. In 2007, I spent a year working as a meteorologist delivering forecasts to a range of media and local authority clients. In 2008 I returned to Leeds to complete a PhD in atmospheric chemistry modeling the effects of air pollution damage on vegetation. From 2013 to 2019 I worked as research associate at Lancaster University with a particular focus on uncertainty quantification in models and impacts of air pollution on human and plant health. I took up my current role as a Senior Data Scientist at UKCEH in January 2019.
PhD Atmospheric Chemistry, University of Leeds, 2012
BSc Meteorology and Atmospheric Science (International), University of Leeds, 2007