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https://github.com/jamesmbaazam/jamesmbaazam

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README

          

I am a Research Software Engineer :computer: at the London School of Hygiene and Tropical
Medicine, working on the [Epiverse TRACE](https://github.com/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.

# What I do

📦: **Develop** epidemiological modelling R packages:
- [epichains](https://github.com/epiverse-trace/epichains), an R package for analysing the distribution of the size and length of transmission chains), and
- [EpiNow2](https://github.com/epiforecasts/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](https://github.com/epiverse-trace/),
- [epinowcast](https://github.com/epinowcast/epinowcast),
- [scoringutils](https://epiforecasts.io/scoringutils/).

🕵️‍♂️: **Conduct code reviews**. See examples in:
- [the epidemics R package](https://github.com/epiverse-trace/epidemics/pull/176#pullrequestreview-1925558435)
- [the cfr R package](https://github.com/epiverse-trace/cfr/pull/78#pullrequestreview-1617135290)
- [the superspreading R package](https://github.com/epiverse-trace/superspreading/pull/77#pullrequestreview-1833259711)
- [the epiparameter R package](https://github.com/epiverse-trace/epiparameter/pull/341#pullrequestreview-2161323012)

👨‍🏫: **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](https://g-wac.org/). See my materials [here](https://github.com/jamesmbaazam/intro-to-idd-modelling) and [here](https://github.com/jamesmbaazam/mppr).
- My [YouTube channel](https://www.youtube.com/@JamesAzam)

🕵️‍♂️: Peer review scientific manuscripts in Infectious disease modeling, Global Public Health, and R package development.

- I've so far reviewed articles in [Scientific Reports](https://www.nature.com/srep/), [Plos Global Public Health](https://journals.plos.org/globalpublichealth/), [The Journal of Open Source Software](https://joss.theoj.org/), and [Bulletin of Mathematical Biology](https://link.springer.com/journal/11538)).

🌐: Collaborate & hold honorary roles with several networks including:
- The [Global Burden of Disease Network](https://www.healthdata.org/research-analysis/gbd) as a collaborator,
- [South African Center for Epidemiological Modelling and Analysis](https://www.sacema.org/) as a [Research Associate](https://www.sacema.org/person/james-azam-phd/),
- [German West African Center for Pandemic Preparedness and Prevention in Ghana](https://g-wac.org/) as an Senior Research Fellow.

# Technical concepts I'm currently (re-)learning

- Probabilistic Programming with the [Stan programming language](https://mc-stan.org/)
- [Bayesian Data Analysis](https://www.bayesrulesbook.com/)
- [Model fitting](https://sbfnk.github.io/mfiidd/)
- [Nowcasting and Forecasting](https://nfidd.github.io/nfidd/)

# Books I'm currently reading

- [Half of a Yellow Sun](https://www.goodreads.com/book/show/18749.Half_of_a_Yellow_Sun)

See more on my [website](https://jamesmbaazam.github.io/).