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šŸ‘‹ Hi, Iā€™m @isaac-florence

I'm a Field Epidemiologist at the UK Health Security Agency.

Although I am an epidemiologist by training, my work currently also includes:

  • Leading small, medium, and big teams of epidemiologists, data scientists, and software developers
  • Data science in R (stats, visualisation, dashboards, and basic modelling)
  • Data engineering in SQL and Python (data warehouse and data lake management, pipelines, linkage, QA, and metrics creation)
  • Software engineering in Python (clinical data systems, systems integration, and analytical/developer/engineering tools)
  • DevOps with Kubernetes (OpenShift) and Git (CI/CD with GitLab, GitHub etc, ArgoCD and Kustomize IAC)
  • Technical architecture (data modelling, data platform design, system design)

šŸ‘€ Iā€™m interested in everything, but principally:

  • Epidemiology analysis and its communication
  • Helping public health and clinical health protection services to succeed with technology, not in spite of it
  • Federated health protection information and data frameworks
  • Cloud-native computing

šŸ“š I'm currently learning:

  • Network architecture
  • More Python, C++, and JavaScript
  • Streaming data and real-time processing
  • Cyber security architecture
  • Rust

šŸ”Ž I'd like to learn more about:

  • C
  • Bioinformatics
  • Machine learning

šŸ¤ Iā€™m looking to collaborate on ...

  • Using data and developing technology in government and the civil service
  • Health (particularly infectious disease) data and clinical systems

šŸ“« How to reach me ...

Isaac Florence's Projects

container-base-images icon container-base-images

There aren't many base images I really like. Here will be some nice (opinionated) images for R and Python in the CentOS Stream & RHEL environment

epicontacts icon epicontacts

Handling, Visualisation and Analysis of Epidemiological Contacts

multidplyr icon multidplyr

A dplyr backend that partitions a data frame over multiple processes

streamgraph icon streamgraph

:wavy_dash: htmlwidget for creating streamgraph visualizations in R

sword icon sword

More than DAGs in R... An R package to visualise, log, and monitor DAG execution/progression using special comments and drop in functions

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