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Personal profile

Research interests

Through exploiting real world data sets to tackle relevant industrial and/or inter-disciplinary problems, I look to contribute to shared mathematical knowledge. Specific research interests include: the relative merits of – and the intersection between - stochastic and deterministic modeling, collective dynamics, and cyclical behaviour. 

I have worked on a range of industrial mathematical problems, from analysing the decision making of chickens in commercial farms to modelling the risk of insurance losses due to extreeme weather events. My applied mathematical expertise includes statistical modelling, dynamical systems, probability and stochastic analysis.

Education/Academic qualification

Matematics, Doctor of Philosophy, University of Nottingham

Mathematics, Master of Mathematics, University of Oxford

Mathematics, Bachelor of Arts, University of Oxford

Fingerprint Dive into the research topics where Lorna Wilson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

hens Agriculture & Biology
consumer attitudes Agriculture & Biology
Braces Medicine & Life Sciences
Climate Medicine & Life Sciences
Baths Medicine & Life Sciences
Acoustics Medicine & Life Sciences
laying hens Agriculture & Biology
Chickens Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2016 2018

Research Output 2010 2019

Simulation of the effect of rainfall on farm-level cocoa yield using a delayed differential equation model

Wilson, L. R. M., Cryer, N. C. & Haughey, E., 27 Jul 2019, In : Scientia horticulturae. 253, p. 371-375 5 p.

Research output: Contribution to journalArticle


Networks in Antibiotic Resistance: Dr Susanne Gebhard's Secondment Project Report

Wilson, L. R. M., Sep 2018, (Unpublished) 18 p.

Research output: Book/ReportOther report

climate variation

Climate Variability and Cocoa: Agri-Food Study Group Report for Mondelez

Wilson, L. R. M. & 13 participants of Agri-Food Study Group, 2017

Research output: Other contribution