Faculty of Science
Data Science Institute

Gaussian Processes for Advancing Understanding of Planetary Magnetism with Spacecraft Observations

A research team, comprised of Dr. Abigail Azari with Drs. Catherine Johnson and Lindsey Heagy from the Department of Earth, Ocean, and Atmospheric Sciences, and Dr. Frank Wood from the Department of Computer Science, has been awarded the Post-Doctoral Matching Fund from the UBC Data Science Institute. This project aims to expand current development of Gaussian process-based estimations of the solar wind, focused on Mercury, Venus, and Mars, and develop integration of Gaussian processes into simulation-based inference, specifically focused on planetary magnetism.

Awarded to:
Postdoc Fellows:

Joss Ives

Associate Professor of Teaching, Physics & Astronomy

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Anytime-Valid PAC-Bayes for Industrial Applications

A research team led by Drs. Danica Sutherland (Computer Science) and Trevor Campbell (Statistics) were awarded postdoctoral funding from the UBC Data Science Institute. The team aims to provide a suite of tools which will allow companies to make optimal use of their data while providing rigorous, statistically principled and continously monitorable generalization guarantees on their deployed AI models.

Awarded to:
Postdoc Fellows:
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We honour xwməθkwəy̓ əm (Musqueam) on whose ancestral, unceded territory UBC Vancouver is situated. UBC Science is committed to building meaningful relationships with Indigenous peoples so we can advance Reconciliation and ensure traditional ways of knowing enrich our teaching and research.

Learn more: Musqueam First Nation

Data Science Institute

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Faculty of Science

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