Jotham Gaudoin

Dr. Jotham Gaudoin BA (Hons), BSc (Hons), MA (Hons), PGCert, PGDip, MSc, PhD FHEA

Senior Lecturer


I am Senior Lecturer in Mathematics and Statistics with particular interests in Bayesian methods and the analysis of eSports data.



BSc (Hons) Mathematics


Journal articles

Ogunleye, B., Maswera, T., Hirsch, L., Gaudoin, J., & Brunsdon, T. (2023). Comparison of topic modelling approaches in the banking context. Applied Sciences, 13 (2), 797.

Conference papers

Haddela, P., Hirsch, L., Gaudoin, J., & Brunsdon, T. (2021). Human Friendliness of Classifiers: A Review. In 2nd International Conference on Emerging Technologies in Data Mining and Information Security, Kolkata, West Bengal, India, 2 July 2020 - 4 July 2020 (pp. 293-303). Springer:

Kankanamalage, P.H., Hirsch, L., Brunsdon, T., & Gaudoin, J. (2020). Use of interpretable evolved search query classifiers for sinhala documents. Proceedings of the Future Technologies Conference (FTC) 2020, 790-804.

Baldwin, J., Brunsdon, T., Gaudoin, J., & Hirsch, L. (2018). Towards a social media research methodology: Defining approaches and ethical concerns. International journal on advances in life sciences, 10.

Theses / Dissertations

Ogunleye, B.O. (2022). Statistical learning approaches to sentiment analysis in the Nigerian banking context. (Doctoral thesis). Supervised by Gaudoin, J., Brunsdon, T., Maswera, T., & Hirsch, L.

Baldwin, J. (2021). Analysing social media data using sentiment analysis in relation to public order. (Doctoral thesis). Supervised by Gaudoin, J.

Postgraduate supervision

James Baldwin (Sentiment analysis of Twitter data) and Prasanna Kankanamalage (Designing human interpretable text classifiers)

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