Matthew Jones, Statistisian at Shell Research.
Abstract: Data Science is growing in importance across business and industry. In Shell, a new Data Science organisation was created in 2018 to accelerate the development and deployment of methods from Statistics, Machine Learning and related fields. In the talk, I will describe a few of our current projects in the areas of environmental extreme value analysis, methane emissions monitoring, geomechanical inversion, and production optimisation. I will also try to give a flavour of what it’s like to work as a Statistician in Shell’s evolving Data Science organisation.
Bio: I’m a Statistician working in Shell’s Data Science organisation: in my job, I get to work as a consultant/researcher on a variety of projects across the company. Before starting at Shell, I completed a PhD at Durham University, working on a few different topics in sequential experimental design, Bayesian uncertainty analysis, and Bayes linear analysis.
Matthew will be joined by fellow Shell Statistician Philip Jonathan.
“Shell is a global group of energy and petrochemical companies that aims to meet the world’s growing need for more and cleaner energy solutions in ways that are economically, environmentally and socially responsible.”