Maurice Cox is an Emeritus Senior Fellow in NPL’s Data Science Department. He received a BSc in Applied Mathematics from City University, London, and a PhD in Numerical Analysis (spline functions), also from City University.

Maurice has worked at NPL since 1968. He is currently a consultant to the company with research interests including mathematical and statistical modelling, uncertainty quantification (UQ), algorithm development and numerical analysis. He is concerned with generic approaches to UQ and methods for the evaluation of interlaboratory comparison data. He has much experience in applying these approaches to diverse fields.

Maurice has made major contributions to supplements to the Guide to the expression of uncertainty in measurement (GUM) and related guides through his membership of the Joint Committee for Guides in Metrology (JCGM). Maurice led a recent European project, EMUE, producing many worked examples of UQ.  The examples cover many sectors – energy, environment, quality of life, industry and society – and support the work of the JCGM and some 10 standards committees. These examples are available in compendium form.

Maurice chairs or is a member of several national and international committees and working groups including British Standards Committee SS/6, Statistical procedures for measurement methods and results, and International Standards Organization ISO/TC 69/SC 6/WG 7, Statistical methods to support measurement uncertainty evaluation. He chairs BIPM Director's Advisory Group on Measurement Uncertainty. 

Maurice is a Fellow and founder member of the Institute of Mathematics and its Applications. He is a Chartered Mathematician and a Fellow of the Royal Statistical Society. Maurice has a visiting professorship in Computational Mathematics at Kingston University, London,

Maurice has published some 300 peer-reviewed papers and reports.