Spencer Thomas is a Senior Research Scientist in the National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI) and a Visiting Research Fellow at the Department of Computer Science at the University of Surrey. Spencer joined NPL in 2016 as part of the NiCE-MSI team working on developing computational analysis methods for mass spectrometry data. Alongside working with NiCE-MSI he collaborates with the Data Science group working on projects in digital health and machine learning. Spencer co-supervises PhD students with Surrey in the area of digital pathology (Vet School, CVSSP) and an iCASE studentship on deep learning in mass spectrometry data (Computing). Prior to NPL Spencer worked as a Research Fellow in Applied Mathematics at the University of Surrey, developing algorithms to analyse nonlinear, stochastic and complex systems, following his PhD on computational intelligence in biological systems. He graduated with a First Class Honours MPhys degree from the University of Surrey in 2010, which included a year-long research placement at the Joint Institute for Nuclear Astrophysics, University of Notre Dame, Indiana.