Teaching
Modules, teaching activities, and academic service.
I aim to connect statistical theory to real decision-making in my teaching.
Modules at The University of Manchester
- MATH4/68011 – Longitudinal and Spatial Data Analysis (2025–present)
- MATH4/68011 – Longitudinal Data Analysis (2023–2025)
- MATH4/68011 – Linear Models and Nonparametric Regression (2021–2023)
- MATH4/68181 – Extreme Values and Financial Risks (2022/23)
Workshops & training
- Advanced Geostatistical Modelling (FUTA, Nigeria, 2026) — a three-day workshop on spatial and spatio-temporal analysis, multivariate modelling, non-stationary processes, and machine learning for geostatistics. Supported by the London Mathematical Society (Scheme 5) and the Department of Mathematics, University of Manchester. Workshop materials
- Model-based geostatistics for global public health data (Indonesia, 2025)
- Inferential Methods for Random Effects Models (AIMS Rwanda, 2024)
- Disease mapping tutorials in R (various workshops incl. UCT, South Africa, 2020)
- Model-based geostatistics for spatially aggregated disease data (FUTA, Nigeria, 2019)
Academic service & leadership
- PGR Director (Probability & Statistics), Dept. of Mathematics, UoM (07/2023–07/2025)
- Departmental Promotions Committee member (2022–2024)
- Statistics seminar organiser (2021–2023)
Teaching resources
I build interactive R/Shiny tools for teaching spatial statistics, including MBGapp (model-based geostatistics) and variogramApp (exploring variograms and Gaussian random fields). See the Software page for the full list with live demos.
If you’re a student looking for supervision in spatial statistics / epidemiology, feel free to get in touch.