Teaching

My teaching activities focus primarily on Bayesian statistics, machine learning and computational inference. I currently teach courses at undergraduate, postgraduate and professional education level at the London School of Economics and Political Science.

Current Courses

  • ST451 Bayesian Machine Learning
    Postgraduate course covering Bayesian machine learning, probabilistic modelling, latent-variable methods and computational inference.

  • ST308 Bayesian Inference
    Undergraduate course introducing Bayesian statistics, hierarchical models, Markov chain Monte Carlo methods and probabilistic modelling.

  • ME315 Machine Learning in Practice
    Summer School course focusing on practical machine learning workflows and applications.

PhD Supervision

I supervise PhD research in Bayesian statistics, stochastic processes, machine learning and computational inference, with applications including epidemic modelling, financial econometrics and latent-variable systems.

Recent and current PhD projects include topics such as:

  • Gaussian process models and structured dependence modelling
  • Sequential Monte Carlo methods
  • Epidemic modelling and Bayesian evidence synthesis
  • Dynamic term structure models
  • Bayesian latent-variable models
  • Machine learning methods for longitudinal and network data

Academic Roles and Professional Activities

  • Programme Director, MSc Statistics, LSE

  • Coordinating MSc Programme Director, Department of Statistics, LSE

  • Associate Editor, ACM Transactions on Probabilistic Machine Learning

  • Former Associate Editor, Journal of the Royal Statistical Society: Series A and Series C

  • Member of the organising committee of the Greek Stochastics workshop series, including recent workshops on scalable and simulation-based inference

  • External PhD examiner for universities including Imperial College London, University College London, Bocconi University and the University of Manchester

Curriculum Vitae

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