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 interested in developing mathematical and statistical models and methods and accompanying software to improve our understanding of how pharmaceutical and non-pharmaceutical interventions impact disease spread.
📦: Develop epidemiological modelling R packages:
- epichains, an R package for analysing the distribution of the size and length of transmission chains), and
- EpiNow2, an R package for forecasting and nowcasting infectious disease dynamics and estimating the time-varying reproduction number.
📦: Contribute to the following R packages:
- Several packages in the Epiverse-TRACE Initiative,
- epinowcast,
- scoringutils.
🕵️♂️: Conduct code reviews. See examples in:
👨🏫: Teach (not officially). For example,
- For the "Modelling for Pandemic Preparedness and Response" modular short course on behalf of the German West African Center for Pandemic Preparedness and Prevention in Ghana. See my materials here and here.
- My YouTube channel
🕵️♂️: Peer review scientific manuscripts in Infectious disease modeling, Global Public Health, and R package development.
- I've so far reviewed articles in Scientific Reports, Plos Global Public Health, The Journal of Open Source Software, and BMC Infectious Diseases.
🌐: Collaborate & Affiliate with several networks including:
- The Global Burden of Disease Network as a collaborator,
- South African Center for Epidemiological Modelling and Analysis as a Research Associate,
- German West African Center for Pandemic Preparedness and Prevention in Ghana as an infectious disease analytics fellow.
- Probabilistic Programming with the Stan programming language
- Bayesian Data Analysis
- Model fitting
- Nowcasting and Forecasting
See more on my website.