Bertrand is a PhD enrichment scheme student. He is currently reading for a PhD at the School of Mathematics, University of Bristol in the area of computational statistics under the supervision of Simon N. Wood. His research interests include regression, regularisation and optimisation for statistics.
Quantile regression became an important tool in statistics that allows to obtain a better picture of the relationship between an observed variable and regressors. Quantile additive models (QAMs) are non-linear multivariate extensions of linear quantile regression. One of Bertrand's current goals is to develop efficient methods to estimate QAMs together with a publicly available software (R package).