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Dr Rachael Stickland (she/her)

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🧠 Research Scientist by background, with a PhD in neuroscience

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I specialised in neuroimaging, specifically Magnetic Resonance Imaging (MRI). I have investigated the neural, vascular and metabolic function of the human brain and how these functions change in Multiple Sclerosis. I have developed and refined methods of measuring brain signals, examining different interpretations of what these signals tell us about brain health.

🧠 Data Wrangler at The Alan Turing Institute

Click for more details - for instance, What is a Data Wrangler?

Data Wranglers can be viewed as a specialised type of data scientist, primarily working in the space between data generators and data analysts. Read more here. The research projects I work on use large population health databases (often electronic health records derived from primary care data). This data rarely comes AI-ready or research-ready. I create re-usable, accessible and efficient analytical workflows to help prepare data for specific use cases.

🧠 Independent Scientific Advisor for Innovate UK BridgeAI

🧠 Recent Activities & Outputs

  • Teaching on version control with git - YouTube Recording (jump in at 4:50 to skip the preamble)
  • Synthetic Data in Health Research - PDF of recent talk
  • Open source software - see pinned repositories below for example activities

Rachael Stickland's Projects

dcm2niix icon dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

mb icon mb

Support for CMRR multi-band pulse sequences

phys2bids icon phys2bids

Python3 library to format physiological files in BIDS. At the moment, it supports Acqknowledge and Labchart.

rapidtide icon rapidtide

rapidtide - a suite of programs for doing time lag correlation analysis on fMRI data

the-turing-way icon the-turing-way

Host repository for The Turing Way: a how to guide for reproducible data science

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