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AlFontal/README.md

Welcome to my profile 👋
Alejandro Fontal's personal Website



I'm Alejandro, a researcher from Barcelona specialized in the application of Data Science in several areas, including but not limited to Bioinformatics, Epidemiology and Computational Biomedicine. Feel free to reach me in any of the socials I left above!

Current role

I am currently performing my research in the Barcelona Institute for Global Health (ISGlobal), while pursuing a PhD in the University of Barcelona (UB) funded by a Marie Skłodowska-Curie Actions Fellowship under the umbrella of the HELICAL Innovative Training Network.

In my research project, I combine tools from Time Series Analysis, GIS, Metagenomic sequencing and Epidemiology to try to find out what are the etiologic agents causing a pedriatric syndrome affecting thousands of children every year: Kawasaki Disease.

Technology Stack

Python R Git Linux VS CODE

Contribution Graph

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  1. vasculitis2022-conference vasculitis2022-conference Public

    Tracing Tokyo’s air sources to identify Kawasaki Disease’s etiological triggers

    Jupyter Notebook

  2. aqi-stations-scraper aqi-stations-scraper Public

    Small Python utility used to generate historical Air Quality Index datasets scraping https://aqicn.org

    Python 5

  3. covid-climate-signatures covid-climate-signatures Public

    Code and analysis for the manuscript "Climatic signatures in the different COVID-19 pandemic waves across both hemispheres""

    Jupyter Notebook 3

  4. sdcpy sdcpy Public

    Scale Dependent Correlation in Python

    Python 1 1

  5. argos-extensions argos-extensions Public

    Compilation of Gnome shell extensions using Argos

    Python

  6. kd-metals-swc kd-metals-swc Public

    Repository with the code and materials for the paper Fine metal-rich aerosols from intensive farming and urban pollution promote Kawasaki disease outbreaks

    Jupyter Notebook 1