Daventry, England, United Kingdom
Joe is a multi-disciplinary geoscientist. He is bilingual in R and python for geoscience applications, and is a champion of data science and machine learning in the Earth sciences. Joe advocates taking a process-oriented perspective: the subsurface is dynamic, it can be explained in terms of fundamental building blocks, and is a function of physical, chemical and biological processes. Joe has authored 20+ peer reviewed papers and is a peer reviewer for journals including Nature Geoscience (2022, 2023). In his current role, Joe leads the development, provision and execution of consultancy services attached to data collected using Geotek core and cuttings scanner technologies.
I lead the development, provision and execution of consultancy services attached to data collected using Geotek core and cuttings scanner technologies. I am also the acting principal data scientist in the consultancy team.
I led a brilliant team of data scientists and researchers in the Geology group at Viridien (formerly CGG.)
I was a research lead, responsible for development of new geo-analytical techniques and workflows.
National Capability (NERC/UKRI) funded post-doc specialising in UK black shale geochemistry, data science and machine learning.