About me

While an astrophysicist, my academic research focused primarily on methods for the analysis of telescope image data. I was particularly interested in reliable inference about weak gravitational lensing from large imaging survey experiments such as the Dark Energy Survey, WFIRST, and Euclid. This meant that I used to think about noise, pixels, sampling, and galaxy shape inference a lot.

Since 2014 I have been working in the City of London for Fidelity, researching the potential use of new data sources, statistics and analysis techniques to improve investment decision making.  Recently, we've had a particular focus in the use of carefully-designed technology to augment human judgement, and have learned a lot of fascinating behavioural economics along the way.