Teaching/supervsion

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

Teaching

  • PGCert in Academic Pracrice, 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

Supervision

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

PhD students

Current

  • Xiahui Li - Approximate Bayesian Computation for mechanistic models of infectious disease transmission

  • Rebecca Supple - Causal Inference and discovery for spatio-temporal data

  • Nourah Alsharani - Spatio-temporal modelling of Nipah virus

  • Chenlin Li - Causal Feature Selection for Robust, Intervention-Aware Time-Series Forecasting

Former

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

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

Masters by research

  • Chenyu Lin - Neural Invariant Causal Prediction under Unknown Distribution Shifts

  • Kannat Na Bangchang - High-dimensional Bayesian Variable Selection with applications to Genome-wide Association Studies (with Mayetri Gupta)

  • 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