My experience is as a statistician working within multi-displinary teams. I've worked in a hospital improvement team, applying stochastic process control and forecasting methods from industry in a health setting.

I've worked in health protection creating and maintaining systems for syndromic surveillance, monitoring infectious disease and enviromental threats. Initial work involved setting up systems for the London 2012 Olympics which then became national systems, used before, during and after the 2019 Covid-19 pandemic. Experienced with the practicalities of maintaining live data processing systems as well as the theoretical models for analysis. Created the Difference-in-differences investigation tool (DiD IT?) for rapid epidemiological assessment of outbreaks and public health incidents.

Followed current developments in statistics, including reproducibility, data science, machine learning, AI and causal inference. Causal inference training included a week's course at Turing Institute, Leeds University.

Working in public health on improvements to physical activity. Including using accelerometers to measure interventions to increase activity. Also, worked on e-bike and e-scooter studies, looking at relationship between share-hire schemes and road traffic collisions, using falsification analysis to robustly check model assumptions.