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

👨‍💼: Develop and maintain R packages for modelling infectious disease outbreaks, including:

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

• 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}).

👨‍💼: Conduct research on infectious disease modelling (see Research tab).

🕐: I previously co-maintained the Carpentries course on Data Analysis and Visualization in R for Ecologists.

How we can work together

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 (icons on top right). I’m basically everywhere and tend to answer promptly.

How I’m Sharpening My Skills

🖥: Learning:

• Forecasting principles and methods:

  • Book: Forecasting: Principles and Practice (3rd ed).

  • Course: Nowcasting and forecasting infectious disease dynamics.

• Bayesian data analysis:

  • Book: Statistical Rethinking book.

• Open source software development:

  • Working in Public: The Making and Maintenance of Open Source Software.

• Practical MLOps: Operationalizing Machine Learning Models

📖: Casual Reading:

• The 5 Elements of Effective Thinking by Edward Burger and Michael Starbird.

• The Art of Explanation: How to Communicate with Clarity and Confidence by Ros Atkins.