Professional summary

Michael is a Senior Data Scientist focussed on leading and contributing to the development and application of novel data science methods to different challenges faced in 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). Michael also has research interests in running uncertainty analysis on a range of numerical models, particularly focussing on propagation of uncertainty down the model chain. 

A meteorologist and atmospheric chemist by background Michael completed first and second degrees at the University of Leeds. In 2007, he spent a year working as a meteorologist delivering forecasts to a range of media and local authority clients. In 2008 he returned to Leeds to complete a PhD in atmospheric chemistry modeling the effects of air pollution damage on vegetation. From 2013 to 2019 he 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. Michael took up his current role as a Senior Data Scientist at UKCEH in January 2019.