Abby Azari

Area of Study / Keywords

Machine Learning Bayesian Statistics Space Physics Planetary Science Planetary Magnetospheres Space Environments Space Plasmas Photonics and Plasmas

About

I am a planetary scientist and space physicist pursuing probabilistic machine learning and inverse problems for scientific insight. I lead a research group in the Faculties of Science and Engineering at the University of Alberta and the Alberta Machine Intelligence Institute. I am generally interested in advancing uncertainty quantification and interpretable machine learning for large-scale data, or automated methods, in the Earth and space sciences.

See my research website for more information, my research group, open positions, and Google Scholar for my publications. 

Education

PhD, University of Michigan, College of Engineering, Atmospheric, Oceanic and Space Science, 2020
Funded through a NSF Graduate Research Fellowship, a NASA Earth and Space Science Fellowship, and a Rackham Merit Fellowship.

MS, University of Michigan, College of Engineering, Atmospheric, Oceanic and Space Science, 2017

BA, Smith College, Physics, 2013

Selected Professional Experience

Assistant Professor, University of Alberta, Dept. of Physics, Dept. of Electrical and Computer Engineering, Current

Post-Doctoral Researcher & Data Science Fellow, University of British Columbia, 2023 - 2025

Post-Doctoral Researcher, UC Berkeley's Space Sciences Lab, 2020 - 2023

Science Policy Fellow, IDA Science and Technology Policy Institute, 2013 - 2015

I also held various undergraduate research positions prior to 2013 at Princeton Plasma Physics Laboratory/DIII-D National Fusion Facility, NASA Jet Propulsion Laboratory, and Colorado School of Mines.