
Simon is a Senior Technical Consultant (Data and analytics) at
NHS National Services Scotland.
He previously worked as a Senior Lecturer at the
University of Glasgow,
where he made significant contributions to computational metabolomics. During his academic career,
Simon pioneered the application of machine learning techniques to metabolomics data, including methods
for using dependencies between metabolites to aid in identification, probabilistic methods for metabolite
annotation, and the use of peak grouping to improve alignment and differential expression computation.
Simon was a key developer of MS2LDA, applying topic modeling for untargeted substructure exploration in
metabolomics (published in
PNAS 2016).
He co-authored the textbook "
A First Course in Machine Learning"
with Mark Girolami, now in its second edition. Simon holds a PhD in Machine Learning from the University of Bristol
and was an affiliate member of
Glasgow Polyomics.
His expertise includes machine learning and statistical techniques for complex data, particularly in healthcare,
metabolomics, and information retrieval. His publications can be found on
Google Scholar.