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Lecture notes

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• Monte Carlo methods (0.5 unit MSc level introductory course) [HTML]

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Research level tutorials

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• Peskun's theorem for MCMC (reading group talk) [HTML]

• Designing MCMC algorithms (reading group talk) [HTML]

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Teaching

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• In 2020/21 I am teaching STAT0030 (Statistical Computing, MSc Statistics/Data Science)

• In 2019/20 I taught STAT0017 (Selected topics in Statistics)​ and STAT0030 (Statistical computing), both at the MSc level. For STAT0017 I taught Monte Carlo methods.

• In 2018/19 I taught STAT0021 (Introduction to Statistical Methods) groups B and C, and STAT0030 (Statistical computing). 

• In 2017/2018 I lectured G003/M003 (R programming) and taught tutorials for STAT2003/3102 (Stochastic Processes).

• In 2015-2017 I taught tutorials in Linear Algebra, Probability and Statistics at University of Bristol. 

• In 2012-2015 I taught tutorials in Probability and Statistics at UCL.  For STAT1004 (Intro to Probability & Statistics, now STAT0002), here is a handout which explains why we cannot calculate relative risk in a case-control study, but can still calculate an odds ratio. 

• In 2014 I taught a foundational course on Probability and Statistics for students on the MSc in Risk, Disaster and Resilience at UCL.