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@rhenkin
rhenkin
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Rafael Henkin rhenkin

Postdoctoral Researcher/Data Engineer
  • Queen Mary University of London
  • London, United Kingdom
  • X@rafaelhenkin

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  • Pro

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@C4TB@ai-multiply

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rhenkin/README.md

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 theAI 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 byemail

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  1. C4TB/shinyExprPortalC4TB/shinyExprPortalPublic

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

    R 5 1

  2. visxhclustvisxhclustPublic

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

    R 4

  3. vfinputsvfinputsPublic

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

    R 1

  4. rforceplotsrforceplotsPublic

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

    R 1


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