I’m currently a post-doctoral researcher at the Francis Crick Institute in London. I work on understanding genomic data and medical records using machine learning techniques such as neural networks as part of the Luscombe Lab.
My PhD was in physics, examining magnetism and superconductivity by taking new materials to particle accelerators and firing beams of particles called muons at them. Check out my thesis, or MµCalc, the software I developed for Bayesian dipole field analysis, on the physics page.
I decided to make this slightly unusual leap between fields after realising that ageing, and all the diseases it causes, is the single largest cause of contemporary human suffering. By understanding the underlying ageing process, we could treat or even prevent many of these diseases simultaneously. So I thought I should learn some biology and try to do something about that.
I am also a passionate campaigner for science funding. I chair grassroots group Science is Vital, who organised a campaign including a 1600-strong delivery of postcards to the Treasury and a sold-out live event in the run-up to last year’s Spending Review.
I also created Scienceogram, which aims to make sense of science spending by putting our investment into context, from deaths to weddings and peanuts.