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https://github.com/rosalynlp/rosalynlp

Last synced: about 2 months ago
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Host: GitHub
URL: https://github.com/rosalynlp/rosalynlp
Owner: RosalynLP
Created: 2024-06-26T12:47:13.000Z (7 months ago)
Default Branch: main
Last Pushed: 2024-10-25T01:05:04.000Z (3 months ago)
Last Synced: 2024-10-25T09:45:40.262Z (3 months ago)
Size: 336 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # Hiya 👋 I'm Rosalyn

 

## My work

I'm a Data Analyst in the **Centre for Medical Informatics** at the **Usher Institute**, University of Edinburgh.

Previously I worked at **Public Health Scotland**

  

* I currently work in the [**eDRIS**](https://publichealthscotland.scot/services/data-research-and-innovation-services/electronic-data-research-and-innovation-service-edris/overview/what-is-edris/) team - extracting, linking and preparing NHS data for use by trusted researchers [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=Public-Health-Scotland&repo=dose_instructions_parser&theme=graywhite)](https://github.com/Public-Health-Scotland/dose_instructions_parser)

* Before this I worked in **COVID-19 Data & Analytics** doing public reporting during the pandemic [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=Public-Health-Scotland&repo=covid-19_respiratory_surveillance_dashboard&theme=graywhite)](https://github.com/Public-Health-Scotland/covid-19_respiratory_surveillance_dashboard) [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=RosalynLP&repo=friendlyloader&theme=graywhite)](https://github.com/RosalynLP/friendlyloader)

* I have also done some work with the **Waiting Times** team creating a dashboard to assess Clinical Prioritisation [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=Public-Health-Scotland&repo=Waiting_Times_Clinical_Prioritisation&theme=graywhite)](https://github.com/Public-Health-Scotland/Waiting_Times_Clinical_Prioritisation)

* Here is a demo Shiny app I created based on PHS open data for the Scottish Drug Misuse Dataset [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=RosalynLP&repo=sdmd_exploration&theme=graywhite)](https://github.com/RosalynLP/sdmd_exploration)

Before working in Public Health, I did a PhD in **Particle Physics** at Edinburgh Uni, where I worked in the [**NNPDF**]([https://github.com/NNPDF/nnpdf](https://nnpdf.mi.infn.it/)) collaboration. 

  

* Here is a link to our main code for calculating parton distribution functions using neural networks [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=NNPDF&repo=nnpdf&theme=graywhite)](https://github.com/NNPDF/nnpdf)

* These are some repos for calculating deuteron and nuclear corrections to parton distribution functions [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=RosalynLP&repo=nuclear_covmat&theme=graywhite)](https://github.com/RosalynLP/nuclear_covmat) [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=RosalynLP&repo=deuteron_corrections&theme=graywhite)](https://github.com/RosalynLP/deuteron_corrections)

* This is the source for my [thesis](https://era.ed.ac.uk/handle/1842/38570?show=full), entitled "Theory uncertainties in parton distribution functions"  [![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=RosalynLP&repo=thesis&theme=graywhite)](https://github.com/RosalynLP/thesis)

![Snake animation](https://github.com/RosalynLP/RosalynLP/blob/output/github-contribution-grid-snake.svg)

## Languages

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![Top Langs](https://github-readme-stats.vercel.app/api/top-langs/?username=RosalynLP&&hide_progress=true&theme=graywhite)

![Rosalyn's GitHub](https://github-readme-stats.vercel.app/api?username=RosalynLP&show_icons=true&theme=graywhite&show=prs_merged&rank_icon=)

## I am learning...

* Typst

* Quarto

## About me

* :house: I live in Edinburgh and love going on walks around town and further afield

* In my spare time I do weightlifting 🏋️ and rugby 🏉

* I also enjoy reading :books: - recommend me a book!