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4 followers · 3 following
  • Queen Mary University of London
  • London, United Kingdom
  • X @rafaelhenkin

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@C4TB @ai-multiply

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rhenkin/README.md

Hi there 👋

I'm a Postdoctoral Researcher and Data Engineer at Queen Mary University of London. I'm an expert in interactive data visualisation and EHR datasets such as CPRD. I work with Python, R or Javascript depending on the situation (e.g. project requirements or collaborators' expertise). I created the following packages:

I'm a researcher in the AI MULTIPLY consortium where I have been working on CPRD GOLD and CPRD Aurum datasets. As part of that, I authored or co-authored the following pipelines and packages:

  • (Python) bursty_dynamics: a Python package to perform burstiness analysis on event data, including functions to calculate scores, compute trains and visualise results
  • (Python + shell scripts) CPRD Data Pipeline Generator: an HPC job generator to process raw CPRD data and prepare an SQLite database for analysis-ready data, including codelist annotations and other steps.

Reach me by email

Pinned Loading

  1. C4TB/shinyExprPortal C4TB/shinyExprPortal Public

    Deploy interactive Shiny portals for exploration and showcase of analysis of molecular expression and phenotype data using a configuration file.

    R 5 1

  2. visxhclust visxhclust Public

    A Shiny app and functions for visual exploration of hierarchical clustering.

    R 4

  3. vfinputs vfinputs Public

    Visual filter inputs for Shiny apps. Interactive color legends to coordinate filtering across outputs.

    R 1

  4. rforceplots rforceplots Public

    Wrapper for shapjs node package for easy force plots in R without Python dependencies

    R 1