Teaching/supervsion

Since January 2023, I am Statistics PGT director at the University of St Andrews.

Teaching

• PGCert in Academic Practice, with merit, University of Glasgow, 2021

• This academic year I will be lecturing

  MT4113 - Computing in statistics MT3510 - Introduction to Mathematical Computing Using Python

• Previous teaching St Andrews: MT5761 - Applied Statistical Modelling with GLMs MT5764 - Advanced Data Analysis Glasgow: Stochastic Processes (STATS4024/5026) Multivariate Methods (STATS4046)

Example teaching resources

Probability slides

Probability notes

Workshops

• VetAgro Sup/Université Lyon 1 (Dec. 2022 & Dec. 2023)
• Universidade Nova da Lisboa, Portugal (Dec. 2023)

Supervision

• I have supervised/currently supervise students in the following areas:

PhD students

• Xiahui Li - Approximate Bayesian Computation using policy driven summary statistics

• Chenglei Hu - Bayesian inference for multivariate extremes (with Daniela Castro Camilo)

Former:

• Stephen jun Villejo - Bayesian Spatio-Temporal models for Spatially Misaligned Data (with Janine Illian)

Masters

• I was a member of the MSc project supervision panel, jointly responsible for supervising c.90 MSc projects in 2019/20

• Adam Shek - Hierarchical modelling of global Covid-19 spread.

Honours

• Predictive modelling of peer-to-peer betting markets
• Animal behaviour and movement modelling using hidden Markov models with hierarchical structures
• Model-based tight clustering for large datasets
• Bayesian computational inference for zero-inflated continuous data x2

Interns

• Wen Xiang - multivariate analysis of Global Covid-19 trends.
• Iain Bell - visualisation of complex spatio-temproal models of public health
• Heather Addison - approximate Bayesian inference in spatial epidemiology
• Rory McMurray - statistical approximations of compartmental models in epidemiology