Postgraduate Drop-In Sessions, University of Cambridge, 2022–25

Part III Drop-In Sessions are hour-long sessions where postgraduate mathematicians at the University of Cambridge may approach a postgraduate student with questions about a course they're attending.

• Part III Functional Data Analysis: Definition of functional data, functional principal component analysis, registration, covariance operators, functional linear models.
• Part III Robust Statistics: Asymptotic theory of M-estimators and minimax results, influence functions, optimal robust estimators, robust linear regression, robust hypothesis testing, estimation under adversarial contamination, heavy-tailed estimation.
• Part III Statistical Learning in Practice: GLMs for regression and classification, model selection and regularisation, Bayesian regression, mixed effects models, linear discriminant analysis and SVMs, deep learning and random forests, PCA, time series.

Undergraduate Supervisor, University of Cambridge, 2022–25

Supervisions are a form of teaching at the University of Cambridge where—in general, in Mathematics—a supervisor and two undergraduates meet for an hour to work through example questions from each lectured course.

• Part II Principles of Statistics: The likelihood principle, Bayesian inference, decision theory, multivariate analysis, nonparametric inference and Monte Carlo techniques.
• Part II Statistical Modelling: Introduction to the statistical programming language R, linear models, exponential families, generalised linear models, examples in R.
• Part IB Markov Chains: Discrete-time chains.
• Part IB Statistics: Estimation, hypothesis testing, linear models.