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working
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243 followers · 67 following

Achievements

Achievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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wcota/README.md

👋 Hi! I'm Wesley Cota, a Ph.D. in Physics investigating both the fundamental aspects of epidemic spreading and their real-world applications. My research extends to understanding information propagation and the dynamics of echo chambers on social media.

🐧 I also have hands-on expertise in web server administration and scientific computational cluster management, all within the Linux ecosystem. I have experience in High-Performance Computing using Fortran and data science and analysis with Python, among other skills that bridge scientific research with software development.

🛠️ Some skills: High-Performance Computing (Fortran, C), Python (numpy, scipy, pandas, geopandas, sympy, and others), data mining and analysis, GIS, LaTeX, Bash, Linux, Docker, HTML, CSS, Javascript, NodeJS, NextJS, SQL, APIs

🔗 You can reach me at wcota.me.

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  1. gisc-ufv/hyperSIS gisc-ufv/hyperSIS Public

    Optimized Gillespie Algorithms (OGA) for spreading processes on higher-order networks

    Fortran 3

  2. dynSIS dynSIS Public

    Implementation of SIS epidemic model for large and heterogeneous networks using Fortran.

    Fortran 10 2

  3. rndgen-fortran rndgen-fortran Public

    Fortran module of the KISS random number generator. It facilitates the simultaneous utilization of multiple independent random number generators.

    Fortran 4 1

  4. datastructs-fortran datastructs-fortran Public

    Collection of common datastructures and utility functions

    Fortran 1

  5. tictoc-fortran tictoc-fortran Public

    TicToc routine - Fortran

    Fortran 3 2

  6. covid19br covid19br Public

    COVID-19 data in Brazil: cases, deaths, and vaccination at municipal (city) level. Description of the data: https://github.com/wcota/covid19br/blob/master/DESCRIPTION.en.md and https://doi.org/10.1…

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