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Ed-VanDerSar/README.md

Hello there 👋


📚 Academic Background

Currently, I am pursuing a PhD degree in Applied Mathematics. My research is centred around applying probability theory to solve complex problems in biology 🧬 and technology 💻.

I am particularly interested in how probability models can help understand biological processes and phenomena. This includes genetic variation, population dynamics, and the spread of mutations 🦠.

In the realm of technology, my focus is on using probability to enhance algorithms, improve stochastic models, and ensure the reliability of complex systems. This involves a deep dive into data analysis and computational methods 📊.

🛠️ Technical Skills

While my academic pursuits form a significant part of my expertise, I am also highly involved in statistical programming and software development.

  • Statistical Programming: I am proficient in R, leveraging this language to perform data analysis, statistical modelling, and visualization. This tool is essential for my research and allows me to handle large datasets efficiently.

  • Java Development: Most importantly, I utilize Java ☕ as a development tool. Java's robustness and versatility make it ideal for building scalable applications, which is particularly beneficial in my technology-related projects.


Popular repositories Loading

  1. Ed-VanDerSar.github.io Ed-VanDerSar.github.io Public

    Forked from niklasbuschmann/contrast

    Edwin's personal webpage

    JavaScript 1

  2. Proyectos-de-FEM Proyectos-de-FEM Public

    Trabajo realizado para el curso de implementación y teoría del FEM en el posgrado en ciencias matemáticas 2023-2

    MATLAB

  3. Ed-VanDerSar Ed-VanDerSar Public

  4. OOP-Java-CheatSheet OOP-Java-CheatSheet Public

    Java Object-Oriented Programming (OOP) Cheatsheet ☕

  5. Tech-Mages-project Tech-Mages-project Public

    Projecto de Tech Mages

    Java