The statistical methods group develops modern methods for statistical modelling and inference. Particular interests include: graphical models, causal inference, medical statistics, phylogenetics, statistical genomics.

Faculty

Robin Evans

Robin Evans

Graphical models, causality, algebraic statistics

Chris Holmes

Chris Holmes

Decision theory, biostatistics and precision medicine, probabilistic learning under model misspecification

Geoff Nicholls

Geoff Nicholls

Statistical modeling, Bayes Methods, Monte Carlo Methods.

Jennifer Rogers

Jennifer Rogers

Statistical methodology in medical research, predominantly clinical trial research

Dino Sejdinovic

Dino Sejdinovic

Statistical machine learning, kernel methods, nonparametric statistics

Post-docs

Luke Kelly

Luke Kelly

Statistical methods for intractable models

Graduate Students

Anthony Caterini

Anthony Caterini

High-Dimensional Statistics, Monte Carlo Methods, Applied Mathematics