Software

I build and maintain open-source R software for outbreak analytics — tools that help epidemiologists analyse transmission, estimate key quantities, and forecast in real time.

Explore all my code on GitHub. I also review open-source research software for the Journal of Open Source Software (JOSS).

Open source projects I build and contribute to

epichains Lead Author

Epiverse-TRACE

Methods for analysing the size and length of infectious disease transmission chains, building on and succeeding bpmodels.

Docs · GitHub

EpiNow2 Co-maintainer · 2022–2025

epiforecasts

Estimates the time-varying reproduction number, growth rate, and doubling time from case data using Bayesian methods.

Docs · GitHub

epinowcast Contributor

epinowcast

Flexible, efficient nowcasting to gain situational awareness during outbreaks from incomplete and delayed epidemiological reporting.

Docs · GitHub

primarycensored Co-Author

epinowcast

Primary event censored distributions for fitting delay and reporting distributions while correctly accounting for censoring and truncation.

Docs · GitHub

scoringutils Contributor

epiforecasts

Tools for scoring and evaluating probabilistic forecasts using proper scoring rules.

Docs · GitHub

R for Ecologists Past co-maintainer

The Carpentries

Co-maintained the Data Carpentry lesson on Data Analysis and Visualization in R for Ecologists.

Lesson · GitHub

Work with me

I’m available for open-source development, code and package review, and research software development consulting for health data science applications.

Get in touch: Email | LinkedIn | GitHub

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