Skip to content
View jamesmbaazam's full-sized avatar

Organizations

@epiverse-trace

Block or report jamesmbaazam

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jamesmbaazam/README.md

I am a Research Software Engineer πŸ’» 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.

What I do

πŸ“¦: 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.

πŸ“¦: Contribute to the following R packages:

πŸ•΅οΈβ€β™‚οΈ: Conduct code reviews. See examples in:

πŸ‘¨β€πŸ«: Teach (not officially). For example,

πŸ•΅οΈβ€β™‚οΈ: Peer review scientific manuscripts in Infectious disease modeling, Global Public Health, and R package development.

🌐: Collaborate & Affiliate with several networks including:

Technical concepts I'm currently (re-)learning

Books I'm currently reading

See more on my website.

Pinned Loading

  1. epiverse-trace/epichains epiverse-trace/epichains Public

    Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models

    R 6 2

  2. epiforecasts/EpiNow2 epiforecasts/EpiNow2 Public

    Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

    R 114 32

  3. epinowcast/epinowcast epinowcast/epinowcast Public

    Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.

    R 57 21

  4. intro-to-idd-modelling intro-to-idd-modelling Public

    Introduction to Infectious Disease Modelling

    JavaScript

  5. mppr mppr Public

    Materials for the in-person "Modelling for Pandemic Preparedness and Response" Modular Shortcourse

    8