I was Director of Research Engineering at the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. I founded, grew and led a team of thirty research software engineers and data scientists contributing to a huge range of data- and compute-intensive research. The team continue to build and use tools to analyse and present large datasets, and create complex models running on state of the art supercomputers. In particular, I directed the "Tools, Practices and Systems" research programme within the UK's strategic priority research programme "AI for Science, Engineering, Health and Government".

During the acute phase of the Coronavirus pandemic I was seconded from the Alan Turing Institute as Chief Data Science Advisor to the Joint Biosecruity Centre, the quantitative analysis and assessment hub of the UK Coronavirus Response. I was lead advisor on digital twins, mathematical, statistical and computational modelling, machine learning, research software engineering and trusted research environments, and worked very closely with the most senior officials.

I was the Director of Digital Research Infrastructure at UK Research and Innovation, the UK's national research and innovation agency. I led on strategy for the software, supercomputers, skills, data services and clouds that underpin computational science and digital scholarship in the UK.

I was founding head of UCL’s Research Software Engineering Group, now part of the new ARC department. It was the first such group in a UK university. Fields addressed included machine learning for intensive care, ancient Mesopotamian history, graph theoretical approaches to modeling chemical catalysis, computer vision for astronomy, trans-oceanic journalistic exchanges, data centric engineering, brain blood flow simulations and DNA crime scene analysis. This new model for applied computational research groups in universities, pioneered under my leadership, has now been adopted by research intensive universities across the globe.

Prior to these roles, I held a number of individual contributor roles in digital research in industry and academia, including with Mathworks, the makers of Matlab, at AMEE, a climate change data science startup, and in postdoctoral roles in UCL in computational physiology. My PhD in theoretical and computational physics from Cambridge University focused on computational tools for predicting experimental signatures of supersymmetric theories.