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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:

Paul Wright's Projects

academic-cv icon academic-cv

Academic CVs (One page/Multiple pages) for Postdoctoral Applications

colourblind icon colourblind

A Collection of Colour-blind-friendly Colour Tables

deepem icon deepem

Demonstrating a Deep Learning Approach for DEM Inversion

developer-roadmap icon developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

drms icon drms

Access HMI, AIA and MDI data with Python from the public JSOC DRMS server

gitignore icon gitignore

A collection of useful .gitignore templates

helioml icon helioml

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

packaging-guide icon packaging-guide

A generic Python packaging guide and template. Slightly focused more towards scientific packages.

plasmapy icon plasmapy

An open source Python package for plasma science

s-arps icon s-arps

Streamlit frontend repository for the "solarpatch" Python package, which provides visualization and analysis tools for solar active region patches derived from SHARPs and SMARPs data

sdoml icon sdoml

package for the sdoml dataset

solarpatch icon solarpatch

a Python package designed for visualizing SHARPs and SMARPs solar active region patches.

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