Current research interests:
As an interdisciplinary researcher my interests lie in several subjects. I split my interest into Mathematics, Computer Science and Biology but in reality I am interested in the combination of all three areas.
High-dimensional inference, Bayesian Modelling, Non-parametric methods, Gaussian processes, and Dirichlet processes.
(Probabilistic) Machine Learning in particular semi-supervised approaches, MCMC.
Proteomics: The localisations and interactions of proteins. Genomics: Large Scale data analysis of genetic data. Epidemiology: modelling of Neglected Tropical Diseases.
Previous research interests:
Dynamical Systems, Ergodic Theory applications to Stochastic Analysis. More precisely: Statistical limit laws for dynamical systems such as the Central Limit Theorem, Weak Invariance Principle and Iterated Weak Invariance Principle with application to SDEs.
MMath project (With Ian Melbourne): Calculating the Lévy Area of Deterministic Dynamics.
Epidemiological Modelling of Neglected Tropical Diseases (NTDs) (with Deirdre Hollingsworth).
Talks:A Bayesian Framework for Spatial Proteomics: Flashlight talk; European Bioconductor conference.
R for Reproducibility: 10th November; Biometrica workshop; Recent trends in biostatistics (University of Cambridge)
Using machine learning to map the sub-cellular proteome; SIAM-IMA student conference (University of Cambridge) – May 2017
Stochastic Modelling of NTDs; WIMP (Warwick-Imperial Autumn Meeting) – Autumn 2015
Stochastic Modelling of NTDs; WMS (Warwick Mathematics Society) – Autumn 2015
Stochastic Modelling of NTDs; URSS (Undgraduate Research Support Scheme) – Autumn 2015
Prizes, Grants and Funding.
Undergraduate Research Support Scheme Bursary (Warwick University).
I am generously funded, for my PhD, by the School of Clinical Medicine, Cambridge.