I'm a PhD student in Richard Durbin's group at the Sanger Institute working with population-scale data from humans and other vertebrates to perform 'big data' analysis in genomics and medicine. I work at the interface between the computational, mathematical, and biological sciences. Currently I am developing efficient and robust algorithms in the context of several on-going large scale driver projects including the UK100K Genomes Project and the UK Biobank.
I am interested in 'Big Data' science that allows unprecedented opportunities to disentangle complex biological problems
Our focus is on developing methods for sharing, integrating and analyzing diverse datasets with currently unachievable speed and scale.
We use machine learning approaches to address statistical problems that are hard to model exactly. Currently we're investigating the use of AI in indel variant calling.