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Spencer is a Principal Scientist in the Data Science and AI Department at the National Physical Laboratory (NPL), and the Science Area Leader for Data Analytics and Modelling. He leads NPL’s digital health team, collaborating with the NHS, universities, industry partners and organisations across Europe. Spencer is a senior member of the IEEE and a member of IPEM. He currently leads activity in trustworthy machine learning, the curation of large complex datasets, and healthcare applications in data science at NPL.
Spencer joined NPL in 2016 in the NiCE-MSI group, leading activity in computational methods and data analysis, before moving to the Data Science group in 2019. Prior to joining NPL, Spencer was a Research Fellow in Applied Mathematics, working on manifold learning and the analysis of complex systems and stochastic dynamical systems. He received an undergraduate master’s degree in physics (MPhys) in 2010 and completed his PhD in optimisation and computational biology in 2014 at the University of Surrey.
Following a role as an Associate Lecturer, Spencer was appointed Senior Lecturer in the Department of Computer Science at the University of Surrey between March 2022 and March 2023. Alongside this, he undertook a part-time secondment to the Department for Science, Innovation and Technology (DSIT) from August 2022 until September 2023, after which he returned to NPL full time.
Spencer is working on trustworthy and explainable machine learning, transfer learning, data integration, representation learning, large scale high dimensional systems analysis, data science applications in healthcare, and tools for traceable storage and curation of complex data. Spencer also has experience in complex systems, dynamical systems, optimisation, and applied mathematics.
He works across a number of areas including:
ResearchGate: https://www.researchgate.net/profile/Spencer-Thomas LinkedIn: https://www.linkedin.com/in/spencer-angus-thomas-39b1988/