Skip to content
Laurence Shaw

Laurence Shaw

Senior Lecturer

School of Science & Technology


Laurence Shaw is a Lecturer/Senior Lecturer in Mathematics in the School of Science and Technology. He specialises in Probability and Statistics but also teaches Pure Mathematics. Most of his teaching is on the Mathematics cluster of courses and he is currently the module leader for Professional Mathemtics Skills and Applied Statistics (Year 3), Problem Solving (Year 2)  and is also the Year 2 Tutor. Laurence also teaches on the Stochastic Processes module (Year 3) as well as teaching mathematics and statistics to first year Forensic Science students within the Professional Skills for Forensic Science and Technical Skills for Forensic Science modules along with occasional guest lectures for 2nd/3rd year Forensics students.

Career overview

Laurence achieved a BA (Hons) in Mathematics from Homerton College, Cambridge in 2010, an MSc in Statistics and Applied Probability from the University of Nottingham in 2012 and a PhD from the same institution in 2016.  Throughout 2016, Laurence also undertook a series of short-term research positions at the University of Nottingham, acting as a statistical partner in projects with the Schools of Medicine, Engineering, Biosciences and Veterinary Science. He has been a lecturer at NTU since 2017, achieving FHEA status in 2018 and winning the Vice Chancellor's Outstanding Early Career Teacher Award in 2019 for his work on making the lecture theatre a more active learning environment.

Research areas

Laurence's main research area is in epidemic modelling using probability theory, namely branching processes and Markov chains. This was the subject of his doctoral thesis. He is also active in multi-disciplinary research, most recently looking at using statistical modelling in the area of antimicrobial resistance and creating a hypothesis testing procedure for observing significant differences between different environments when only compositional data and a small number of samples are available.

In more recent times his research has moved towards the scholarship of teaching and learning of mathematics in higher education, with a particular focus on embedding employability skills into the curriculum and  creating a fair and inclusive teaching and assessment environment.


SHAW, L.M. and TRANTER, M.R., 2021. Levelling the playing field in assessment: an analysis of attainment gaps for widening participation, black and minority ethnic mathematics undergraduates before and after the COVID-19 lockdown. Teaching Mathematics and its Applications: An International Journal of the IMA. ISSN 0268-3679

SHAW, L., 2021. Being good at maths might help you become great at sports – Emma Raducanu showed us why. The Conversation.

SHAW, L., 2019. Rugby World Cup: teams could progress by deliberately conceding points. The Conversation.

SHAW, L., 2019. The good, the bad and the sheep. In: CETL-MSOR Conference 2019: Bringing Together Mathematics Communities, Dublin City University, Dublin, Ireland, 5-6 September 2019.

SHAW, L.M., BLANCHARD, A., CHEN, Q., AN, X., TOTEMEYER, S., ZHU, Y.-G. and STEKEL, D.J., 2019. DirtyGenes: testing for significant changes in gene or bacterial population compositions from a small number of samples. Scientific Reports, 9: 2373. ISSN 2045-2322

LEAROYD, A.E., WOODHOUSE, L., SHAW, L., SPRIGG, N., BERECZKI, D., BERGE, E., CASO, V., CHRISTENSEN, H., COLLINS, R., CZLONKOWSKA, A., EL ETRIBI, A., FARR, T.D., GOMMANS, J., LASKA, A.-C., NTAIOS, G., OZTURK, S., POCOCK, S.J., PRASAD, K., WARDLAW, J.M., FONE, K.C., BATH, P.M. and TRUEMAN, R.C., 2017. Infections up to 76 days after stroke increase disability and death. Translational Stroke Research, 8 (6), pp. 541-548. ISSN 1868-4483

BOEHM-STURM, P., FÜCHTEMEIER, M., FODDIS, M., MUELLER, S., TRUEMAN, R.C., ZILLE, M., RINNENTHAL, J.L., KYPRAIOS, T., SHAW, L., DIRNAGL, U. and FARR, T.D., 2017. Neuroimaging biomarkers predict brain structural connectivity change in a mouse model of vascular cognitive impairment. Stroke: a Journal of Cerebral Circulation, 48 (2), pp. 468-475. ISSN 0039-2499

BALL, F. and SHAW, L., 2016. Inference for emerging epidemics among a community of households. In: I.M. DEL PUERTO, M. GONZÁLEZ, C. GUTIÉRREZ, R. MARTÍNEZ, C. MINUESA, M. MOLINA, M. MOTA and A. RAMOS, eds., Branching processes and their applications. Lecture notes in statistics, 219 . Cham, Switzerland: Springer International, pp. 269-284. ISBN 9783319316390

SHAW, L., 2016. SIR epidemics in a population of households. PhD, University of Nottingham.

BALL, F. and SHAW, L., 2015. Estimating the within-household infection rate in emerging SIR epidemics among a community of households. Journal of Mathematical Biology, 71 (6-7), pp. 1705-1735. ISSN 0303-6812

See all of Laurence Shaw's publications...