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Hello 👋

I'm a planetary space physicist pursuing machine learning methods for uncertainty quantification and scientific insight; I'm currently a Data Science Fellow and Postdoctoral Researcher at the University of British Columbia.

  • 📡 currently working on applications of Gaussian processes for planetary magnetism and space physics.
  • 🌎 am excited about the use of machine learning for understanding our planet and others.
  • 🔭 enjoy interacting in the DeepSkies community.
  • 🌔 founded the Machine Learning for Planetary and Space Physics journal club, join at ml4psp.github.io.
  • 🔗 see abbyazari.github.io for my research.

Abby Azari's Projects

abbyazari.github.io icon abbyazari.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

assure-reu icon assure-reu

Python based lessons for undergraduates in the 2021 SSL Research Experience for Undergraduates at UC Berkeley.

cassini_odds_ends icon cassini_odds_ends

This repository contains odds and ends, or an assortment of useful items written in Python for Cassini data analysis.

data_vis_statistics_geosciences icon data_vis_statistics_geosciences

This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for geo & space scientists. Labs are updated when the course is in session through the most recent branch. See master version for current class.

nasa-ml-pubs icon nasa-ml-pubs

Script that generates associated trend figure for a summary paper on machine learning in NASA represented science fields (https://doi.org/10.3847/25c2cfeb.aa328727)

umich-eecs545-lectures icon umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

vswim icon vswim

a virtual solar wind monitor (vSWIM) for Mars with Gaussian processes.

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