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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.

What I do

📦: Develop and maintain epichains as a successor of bpmodels (an R package for analysing the distribution of the size and length of transmission chains)

📦: Contribute to the following R packages:

🕵️‍♂️: Code reviews. See examples in:

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

Technical concepts I'm currently learning

Books I'm currently reading

See more on my website.

James Azam's Projects

epicontacts icon epicontacts

Handling, Visualisation and Analysis of Epidemiological Contacts

epiestim icon epiestim

A tool to estimate time varying instantaneous reproduction number during epidemics

epinow2 icon epinow2

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

epinowcast icon epinowcast

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.

epiparameter icon epiparameter

R package with epidemiological parameters for infectious diseases

epiparameterdashboard icon epiparameterdashboard

A dashboard for visualising the epidemiological parameters stored in the epiparameter package.

fitr icon fitr

Functions for model fitting and inference

flu-evidence-synthesis icon flu-evidence-synthesis

Code for reconstructing influenza dynamics from surveillance data using evidence synthesis techniques

forecast.vocs icon forecast.vocs

Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluation of the use of sequence data for short-term forecasts in both real-world settings and in user generated scenarios.

hettmo_01 icon hettmo_01

R-package based on Stan to efficiently implement time-dependent transmission and stratification

immunity.thresholds icon immunity.thresholds

Code accompanying the manuscript "Combining serological and contact data to derive target immunity levels for achieving and maintaining measles elimination".

incidence2 icon incidence2

Compute and visualise incidence (reworking of the original incidence package)

kmisc icon kmisc

A collection of functions for common data reshaping operations, as well as functions for table and plot generation for R Markdown documents.

linelist icon linelist

An R package to import, clean, and store case data

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