Profile

Overview

I am a Research Software Engineer, in Exeter's Research Software Engineering Group. I have experience with simulation design, trajectory prediction & optimisation, and machine learning, applied in a variety of aerospace and healthcare settings. I currently work with Python, React, Typescript/JavaScript, and various cloud services.

Our group is based in the Laver building: come drop by and say hello! Otherwise find me on LinkedIn.

Qualifications

MEng (Hons) in Aeronautics and Astronautics from the University of Southampton (1st Class).

Career

After completing my MEng at the University of Southampton, I spent two years working as a Design Engineer at Dyson, performing research and development around new technologies and products. My work here was varied, from the rapid prototyping of electronic systems, to computational analysis, to unsupervised machine learning, and much more.

Following this, I spent two years working as a Data Scientist with the University of Exeter and a local health-tech start-up, working towards improving clinic experience for both staff and patients, through the analysis of their spatial trajectories. Finally, prior to my role as a Research Software Engineer, I worked as a Research Fellow, with Prof. Mark Kelson and Institute of Data Science. Here I was investigating themes of open and transparent research, and reproducibility, across a variety of disciplines.

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Research

Research projects

I am currently working on two projects: LCAT, a Local Climate Adaptation Tool, and Project Bluebird, where we are investigating the role of AI in Air Traffic Control. I develop full stack features across both of these projects, manage databases and deployments, and perform data analysis when required. 

LCAT is a partnership between the University of Exeter, the European Centre for Environment and Human Health, and Cornwall County Council. The tool brings together complex climate models, adaptation options and health impact evidence to help the user understand the health implications of climate change in their local area. Importantly, LCAT also generates recommendations for appropriate adaptation approaches, based on the best available evidence, to support the health and wellbeing of local people. The first iteration of the tool can be accessed at lcat.uk

Project Bluebird is a partnership between the University of Exeter, The Alan Turing Institute, and NATS, the National Air Traffic Service. We are building the worlds first Artificial Intelligence (AI)-driven system to control a section of airspace in live trials. 

The key research themes aim to:

• Develop a probabilistic digital twin of UK airspace.
• Build a machine learning system that collaborates with humans to control UK airspace.
• Design methods and tools that promote safe, explainable and trustworthy use of AI in air traffic control systems.

Please see the project description for more information.

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