Hi there, I am a Research Software Engineer at the London School of Hygiene and Tropical Medicine, working on the Epiverse-TRACE Initiative, which is a project to develop and maintain R packages for providing reproducible analytics support during epidemics.

I am mainly interested in developing models and methods and accompanying software to improve our understanding of how interventions impact disease spread.

What I do

šŸ‘Øā€šŸ’¼: Develop and maintain R packages for modelling infectious disease outbreaks, including:

  • Simulating and analysing transmission chains ({bpmodels}, {epichains}),

  • Estimating the time-varying reproduction number, growth rate, and real-time epidemiological counts ({EpiNow2})

  • Nowcasting and forecasting epidemiological counts that are biased by delays in reporting ({epinowcast}).

šŸ•: Co-maintain the Carpentries course on Data Analysis and Visualization in R for Ecologists.

Research Interests

I have a PhD with a specialisation in outbreak response modelling and decision-making. I am interested in the development of models and methods to evaluate the impact of pharmaceutical and non-pharmaceutical interventions on the spread of infectious vaccine-preventable diseases. However, more broadly, I am interested in quantitative research that improves the health outcomes.

Additionally, I like contributing to and indulging in the literature on how to improve science, including science communication and science policy.

Continuing Professional Development

šŸ“–: Reading Regression and Other Stories.

šŸ–„: Learning how to apply Bayesian data analysis to infectious disease nowcasting and forecasting through the Statistical Rethinking book.

Collaborations

I am interested in working with you on a mathematical or statistical method/model that improves how we do outbreak analytics.

We can also discuss how to generalise it into a piece of software.

Please get in touch through any of my linked contacts. Iā€™m basically everywhere and tend to answer promptly.

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