Tom is a Senior Data Scientist and technical work package lead on the EUCAN-Connect project.EUCAN-Connect brings together scientists and technologists from Europe and Canada to improve the quality of health care through a more efficient use of existing data. Large-scale integrated cohort data analysis for personalized and preventive healthcare will be made possible through an open, scalable data platform for cohorts, researchers and networks.He also specialises in prototyping the use of machine learning and web scraping to: Measure and understand the built environment, and people and vehicles within it, using aerial and street images. Classify a takeaway outlet (e.g. as a pizza shop) from its name and limited other properties to understand the food environment. Gather publically available data on the internet to build up a nutritional profile of takeaway food. Automate the reading of handwritten food diaries to reduce costs of data processingHe is also responsible for the technical delivery of the InterConnect project. The InterConnect project aims to facilitate and coordinate research on the interaction between genetic and environmental factors in the aetiology of diabetes and obesity across different populations by creating a global diabetes research network. InterConnect has a similar approach to EUCAN-Connect and as such his experiences from InterConnect will be very useful for EUCAN-Connect.

Designed and built a data extraction system to provide a massive data set for demand forecasting. Developed a tool to measure the performance of existing forecasting systems to provide a benchmark to improve against. Performed forensic analysis to troubleshoot a new forecasting system, which required me to understand the mathematics behind the algorithm and learn the SAS coding language. Engineered web tools to improve store product ranges. Implemented recruitment process to build Commercial Science team.

Owned the requirements for real time data processing systems and guided development teams in implementing the requirements.

Investigating latency across a key Reuters network

The Technology Graduate Scheme provides bespoke placements that span the work of development and operations

Designed a fluid retardation device for the world's largest mining truck

Developed a suite of data tests to regression test the Spiral API

Subsidiary of Caterpillar Inc