isaac-florence / sword

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

👋 Hi, I’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)

👀 I’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

📚 I'm currently learning:

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

🔎 I'd like to learn more about:

• C
• Bioinformatics
• Machine learning

🤝 I’m looking to collaborate on ...

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

📫 How to reach me ...

• Here!
• LinkedIn
• Twitter
• Bluesky