Matthew's research focuses on statistical analysis of assessment data, and development and evaluation of novel computational methods. Since joining Cambridge University Press and Assessment in 2017, he has worked on diverse areas including detection of copying, uses of automated text analysis, comparing national and international test results, understanding demographic profiles of students taking vocational qualifications, the effects of tiering on grade distributions, and uses of longitudinal datasets. He also works closely with Cambridge CEM on a range of research projects relating to their tests.

His background is in analysis of large datasets and statistical modelling, having previously worked in the field of conservation ecology. He studied Natural Sciences at Cambridge, then studied for an MRes and PhD at the University of York. After this, he worked as a research scientist, studying the impacts of climate change on animal populations. He has also worked in a science education centre, giving public talks and running practical science classes with school groups.