Vaximap is a free online tool for optimising delivery of Covid-19 vaccinations. Within a month of starting up it reached 100k patients, was adopted for use by the UK Army, and won backing from Microsoft, JHub Med (MoD) and Oxford University.This was a solo and full stack development effort, from scoping out user requirements, developing the core algorithm, building and hosting the website, to taking care of ongoing maintenance and tech support for users. The beta was online 48 hours after project start.

Research fellow spinning out a company for physiological MR imaging techniques (ASL and CEST). Responsibilities include market exploration, building customer relationships, finding commercial partners and technical development.This work is funded by Nottingham, Oxford and the Biotechnology and Biological Sciences Research Council (BBSRC)

Bellhouse Scholar in Biomedical Engineering. Research project: anatomically informed Bayesian inference for physiological imaging. Adapted variational Bayesian inference procedures to enable surface-based analysis of arterial spin labelling data. This enables the measurement of perfusion which is an important marker of neurodegenerative disease. My project involved a substantial amount of new methods development, which is now either in publication or in review. I am experienced in both FSL and TensorFlow as a result of this work, and am comfortable with all parts of the medical image analysis workflow.

Oversaw system integration for Oxford University's emergency Covid-19 ventilator, of which the UK Government ordered 6,000 units. Also responsible for design verification data analysis, system calibration, and authoring multiple technical documents submitted to UK's healthcare regulator (MHRA). Partnered with Smith + Nephew UK for manufacturing, working closely with their operations team to reduce manufacturing time down to 45 seconds per unit. This project was awarded the 2020 Global Challenge innovation award from the Institute of Engineering and Technology.

1 year "Teach First"-style pre-university placement. I taught students on the C/D borderline and also gifted & talented for GCSE.