Recent activity and highlights

Mar 1, 2024: Our collaborative work, led by Dr Aimee Hanson, on how COVID-19 causes iron dysregulation early on in infection has now been published in Nature Immunology, with a preview here.

Jan 20, 2024: Our paper on the Joint Graphical Horseshoe with scalable expectation conditional maximisation estimation has now been accepted in the Annals of Applied Statistics – with Camilla Lingjærde, Benjamin Fairfax, Sylvia Richardson.

Nov 10, 2023: Invited seminar on “Bayesian joint functional principal component analysis (FPCA) for complex sampling designs”, at Imperial College London.

Nov 9, 2023: New preprint on Bayesian variational message passing for multivariate FPCA – with Tui Nolan and Sylvia Richardson.

Sept 6, 2023: New preprint on encoding auxiliary information to guide Bayesian network inference – with Xiaoyue Xi.

Apr 6, 2023: Invited seminar on an “FPCA framework to characterise systemic recovery from SARS-CoV-2 infection”, at Inserm Bordeaux Population Health, Bordeaux University.

Mar 31, 2023: Invited seminar on “Fast Bayesian joint inference for uncovering disease mechanisms at scale”, at The Research Center for Statistics, GSEM, University of Geneva.

Jan 30, 2023: New paper on the characterisation of immunometablic recovery from SARS-CoV-2 infection using FPCA and predictive modelling approaches published in Nature Immunology.

Nov 7, 2022: Course given as part of a Masterclass on variational inference, for the CoSInES and Bayes4Health programme – with Camilla Lingjærde.

Sept 29, 2022: Invited speaker at the 19th edition of the Armitage Workshop, Cambridge.

Sept 16, 2022: Article on our R package “atlasqtl” for multiple-response hierarchical regression published in the Software Corner of the International Biometric Society Bulletin (Volume 39, Issue 3).

Jun 23, 2022: New preprint introducing the Joint Graphical Horseshoe with scalable expectation conditional maximisation estimation – with Camilla Lingjærde, Benjamin Fairfax, Sylvia Richardson.

May 3, 2022: Invited seminar on “Large-scale variational inference for sparse hierarchical regression applied to genome-wide association problems” for the British Irish Region IBS Meeting on Variational Bayes Methods.

Dec 20, 2021: Chapter “Variable selection for hierarchically-related outcomes: models and algorithms” now published in the Handbook of Bayesian Variable Selection, ed. M. Tadesse & M. Vannucci, Chapman and Hall/CRC.