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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 an Research Software Engineer at the University of Exeter.

Prior to joining Exeter in 2024, I was an ML Engineer on an end-to-end machine learning project for solar flare forecasting (ARCAFF). Prior to this I was a Senior ML Scientist in a small startup and an Applied ML Scientist and consultant (https://www.wrightai.com/) and prior to 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:

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  1. weird_salads Public

    A weekend attempt at a full-stack web app using a unit-of-work and repository patterns. Streamlit, FastAPI, Docker, SQLAlchemy, SQLite, Alembic

    Python

  2. HelioML/HelioML Public

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

    Jupyter Notebook 70 45

  3. DeepEM Public

    Demonstrating a Deep Learning Approach for DEM Inversion

    Jupyter Notebook 22 12

  4. stac-overflow Public

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

    Python

  5. ColourBlind Public

    A Collection of Colour-blind-friendly Colour Tables

    IDL 12 1

  6. sunpy/sunkit-dem Public

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

    Python 13 9

318 contributions in 2018

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Activity overview

Contributed to PaulJWright/DeepEM, HelioML/HelioML, PaulJWright/Academic-CV and 1 other repository
Loading A graph representing PaulJWright's contributions from January 01, 2018 to December 31, 2018. The contributions are 99% commits, 1% pull requests, 0% issues, 0% code review.

Contribution activity

December 2018

45 contributions in private repositories Dec 1 – Dec 31
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