Abby Azari
Assistant Professor at University of Alberta
Edmonton, Alberta, Canada
Summary
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Senior🎓
Top SchoolAbby Azari is an Assistant Professor and Canada CIFAR AI Chair at the University of Alberta who blends probabilistic machine learning with planetary and space physics to extract scientific understanding from large, noisy datasets. With eight years of research and teaching experience and a PhD in Atmospheric, Oceanic and Space Science from the University of Michigan, she leads the Azari Research Group and advances uncertainty quantification and interpretable ML for planetary systems. A NASA MAVEN science team member and former postdoc at Berkeley and UBC, she has applied Gaussian processes and Bayesian methods to planetary magnetism and space physics. Abby’s work sits at an unusual intersection of academia and mission science, translating ML innovations directly into tools used for spacecraft data analysis.
8 years of coding experience
5 years of employment as a software developer
BA, Physics, Minor Astronomy, BA, Physics, Minor Astronomy at Smith CollegeDoctor of Philosophy (PhD), Atmospheric, Oceanic, and Space Science, Doctor of Philosophy (PhD), Atmospheric, Oceanic, and Space Science at University of Michigan College of Engineering
Github Skills (28)
geoscience10
python10
data-science10
statistics10
climate-science10
data-visualization10
data-analysis10
planetary-science7
topography7
gaussian-processes7
harmonic6
research-and-development5
curve-fitting5
machine-learning5
gravity4
Programming languages (3)
Github contributions (5)
abbyazari/vSWIM
Feb 2024 - Aug 2024
a virtual solar wind monitor (vSWIM) for Mars with Gaussian processes
Contributions:1 release, 2 reviews, 4 PRs in 6 months
gaussian-processesmachine-learningmarsplanetary-sciencesolar-wind
ml4psp/ml4psp.github.io
Oct 2020 - Jan 2023
Contributions:216 commits, 198 pushes in 2 years 3 months
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