Dr Graham Hesketh is the Head of Data Science at Trilateral Research and is involved in the design and development of cloud based machine learning solutions for public and private clients. He is active in all aspects of data curation and management across the data life-cycle including the front end, visualisations, machine learning algorithms, security, and web hosting. He is active in client engagement, business development and writes project proposals, research, and reports in data analysis, data visualisation, cloud computing, big data and machine learning.
At Trilateral, Graham has designed and built, among other analytics tools, a machine learning web app that predicts air pollution from noise pollution collected on a smartphone, a deep learning entity resolution tool for database management, a research collaboration network visualisation system built on the OpenAIRE database, a cloud based solution for modern slavery risk analysis, and designed and monitored the KPIs and benchmarks in a big data project for streaming data in a steel industry use case.
Graham is currently leading the technical team building the data analytics and cloud solution architecture in Trilateral’s STRIAD software for data-driven decision making. The STRIAD platform is currently being developed in two use cases, one in partnership with a UK Police Force called CESIUM and aims at providing data insights for tackling child exploitation, and one in partnership with the UK MoD called HAMOC which aims to provide data insights for analysing human security.
Other personal projects include social media analysis with Twitter, an electoral swing predictor, a probability to vote predictor, and a likely party to vote for predictor.
Graham has authored and co-authored several peer-reviewed journal articles in computational modelling, acts as a reviewer for leading journals, regularly presents at conferences across the world, and has over nine years’ experience in computational research, applied statistics and data analytics.
His background research involved large supercomputer simulations of physical phenomena including long-haul fibre optic communications, nonlinear optical processes and digital signal processing.
He was awarded the EPSRC doctoral prize for research excellence in 2014.
Graham holds a BSc. in Physics with Astrophysics from the University of Kent, an MSc. in Quantum Field Theory from Imperial College London and a PhD in Computational Physics of Optical Communications from the University of Southampton, where he has also conducted postdoctoral research.