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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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the-rccg/README.md

Hey everyone, I'm RCCG - 👋

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I'm an AI researcher at the University of Oxford department of Theoretical Physics.

My previous stops included my CompSci PhD thesis on AI accelerated turbulence simulations for fusion models @ the Max-Planck Institute for Plasmaphysics in via the Helmholtz MUDS graduate program (part of HIDA). Before that I studied star formation in Andromeda/M31 @ the machine-learning research group at the Institute for Theoretical Astrophysics at the University of Heidelberg. Even longer ago, I did my undergraduate degree at the University of Chicago in Physics, with a stint at a Chicago prop-shop inbetween.

The code here spans across current research, previous work, and side projects - mostly focused on numerical simulations, machine learning, bots, and automation.

Basics:

Currently work on physics-based machine learning, after completing my MSc in astrophyics, and leaving the Chicago prop-trading industry for graduate school.

  • 👨‍💻 I'm currently working on the interplay of AI and Fusion theory
  • 👨‍🏫 I'm teaching classes on software development in Python for researchers
  • 👯 I'm looking to collaborate on plasma physics simulation projects
  • 💼 I'm open to quantitative side projects in finance, health, or other fields
  • 💬 Ask me about anything here

Favorite Languages & Tools:

RCCG's GitHub Stats




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  1. Mu-DS/practical_training Mu-DS/practical_training Public

    Material for the MUDS Practical Data Science Training

    HTML 14 3

  2. csvbase csvbase Public

    Turn any directory with CSVs into a SQL query-able data-base-thingy. All the benefits of human readable, portable, interoperable data. None of the commitment of a database.

    Python

  3. descy descy Public

    Automatically provide descripions to technical terms used in your paper, thesis, manual, lecture notes, etc. to ensure your reader is able to follow along!

    Python

  4. hw2d hw2d Public

    Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions

    Python 19 1