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👋 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


  1. covid19br covid19br Public

    COVID-19 data in Brazil: cases, deaths, and vaccination at municipal (city) level. Description of the data: and…

    445 134

  2. covid19br-vac covid19br-vac Public

    Vaccination data processed from OpenDataSUS


  3. dynSIS dynSIS Public

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

    Fortran 8 2

  4. dynSIS-networkx dynSIS-networkx Public

    Networkx implementation of the SIS epidemic model for large and heterogeneous networks

    Python 15 4

  5. dynSIS-py dynSIS-py Public

    Implementation of SIS epidemic model for large and heterogeneous networks

    Python 1 4

  6. 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 3 1