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@FrontierDevelopmentLab @SDOML @wrightai @spaceml-org @ARCAFF
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PaulJWright/README.md

Hi i'm Paul 👋

I currently work as a research fellow on an end-to-end machine learning project for solar flare forecasting (ARCAFF).

Prior to joining DIAS in 2023, I was a Senior ML Scientist in a small startup, and an Applied ML Scientist and consultant (https://www.wrightai.com/). From 2019 until 2021, I was a Postdoctoral Research Fellow in the Department of Physics at Stanford University, and a Core Mentor at the NASA Frontier Development Lab.

Feel free to check out some of the projects I have been involved with, or visit my personal website:

Works in progress:

Pinned

  1. sdoml sdoml Public

    package for the sdoml dataset

    Python 3 1

  2. HelioML/HelioML HelioML/HelioML Public

    A book about machine learning, statistics, and data mining for heliophysics

    Jupyter Notebook 67 43

  3. DeepEM DeepEM Public

    Demonstrating a Deep Learning Approach for DEM Inversion

    Jupyter Notebook 21 11

  4. sunpy/sunkit-dem sunpy/sunkit-dem Public

    A package for computing differential emission measures using multiple methods with a common API

    Python 9 7

  5. ColourBlind ColourBlind Public

    A Collection of Colour-blind-friendly Colour Tables

    IDL 11 1

  6. stac-overflow stac-overflow Public

    Final Position: 13/664 | https://www.drivendata.org/competitions/81/detect-flood-water/

    Python