Role
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 (Year 3), Problem Solving (Year 2) and Introduction to Abstract Algebra (Year 1) and is also the Year 2 Tutor. Laurence also teaches mathematics and statistics to first year Forensic Science students within the Professional Skills for Forensic Science and Technical Skills for Forensic Science modules.
Career overview
Laurence achieved a BA (Hons) in Mathematics from Homerton College, Cambridge in 2010, an MSc in Statistics and Applied Probability from the Univervity 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 Chanellor'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.
Publications
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
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...