Skip to content
View wcota's full-sized avatar
🏠
at home
🏠
at home

Highlights

  • Pro
Block or Report

Block or report wcota

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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.

Pinned

  1. 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…

    445 134

  2. covid19br-vac covid19br-vac Public

    Vaccination data processed from OpenDataSUS

    7

  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