Laurence Shaw is a Senior Lecturer in Mathematics in the School of Science and Technology. He specialises in probability and statistics but also teaches pure mathematics and professional skills modules. 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.
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.
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. Additionally, Laurence offers projects to BSc and MSc Mathematics students allowing them to explore statistical methods and machine learning through applied areas such as sporting prediction, industrial logistics, and understanding voting patterns at the Eurovision Song Contest
Laurence is the external examiner for the MSc Data Science course at the University of Essex.
Newspaper or popular journal contribution
SHAW, L., 2022. A brief history of statistics in football: why actual goals remain king in predicting who will win. The Conversation. ISSN 2044-5032
Laurence is an expert in mathematics and statistics and has press experience discussing the mathematics of lottery wins and the relationships between maths and sport.