Current teaching

I will be teaching Applied Multivariate Statistics in the spring of 2024. The lecture notes are available here.

Previous years

Teaching at the University of Sheffield (2015-2020)

Extended linear models (MAS6003/MAS473)

This is a level 4/Masters module in which we consider mixed effects models and methods for dealing with missing data (multiple imputation, EM algorithm etc).

Topics in Bioengineering: An introduction to statistics (BIE201)

This is a level 2 Engineering module. Half of the module is on introductory statistics, which we teach via flipped learning. The videos we created are linked to below:

• Week 1: Basics, inc. exploratory data analysis
• Week 2: Point estimates and hypothesis tests
• Week 3: Hypothesis tests and confidence intervals
• Week 4: Linear models
• Week 5: Further linear models

Previously, I taught Computational inference (MAS6004/MAS472), a a level 4/Masters module looking at simulation approaches for frequentist and likelihood-based inference.

Teaching at the University of Nottingham (2009-2015)

I taught three different modules:

• Statistical methods and models (G12SMM) I taught the linear models part of the module, covering theory and application.
• Topics in Biomedical Statistics (G14TBS) This is a level four/Msc module which takes place in the Spring Semester. I wrote the part on population genetics, which focusses on explaining how probability models can be used to understand the genetic structure of populations. The notes are available here.
• Computational Statistics (G14CST) A fourth year module on modern computational techniques. The content was similar to the Sheffield module MAS472

Research tutorial talks

I’ve given a number of research talks that aim to be tutorials.

• Analysis of computer experiments
• Approximate Bayesian computation CERN
• Approximate Bayesian computation (ABC): inference for intractable computer models NIPS
• GP summer schools NIPS