Jack Muir
Affiliate Researcher
District of Belconnen, Australia
Summary
👤
Senior🎓
Top SchoolJack Muir is an Earth scientist and machine learning leader with a decade of experience applying advanced CS and statistical methods to tough geophysics problems. Currently Head of Machine Learning at Fleet Space Technologies and an Affiliate Researcher with the Earth Rover Program, he combines academic rigor—from a PhD in Geophysics at Caltech and a Marie Skłodowska-Curie fellowship at Oxford—with hands-on industry impact. He frequently holds concurrent visiting researcher roles (ANU, Oxford) that bridge field-scale geophysics and satellite-enabled sensing. Jack is known for translating cutting-edge research into operational ML systems for space and Earth-observation applications, and his background includes a University Medal in Physics and top academic credentials dating back to an ATAR of 99.85.
10 years of coding experience
2 years of employment as a software developer
Australian National UniversityCalifornia Institute of TechnologyHigher School Certificate, ATAR 99.85, Higher School Certificate, ATAR 99.85 at Knox Grammar School
Github Skills (71)
julia9
toolbox9
partial-differential-equations9
gmt8
iterative8
event-handling7
julialang7
shortest-path7
geo7
equation7
spatial6
earth-science6
gradient6
pluto6
singular6
Programming languages (6)
Github contributions (5)
jbmuir/TikhonovEnsembleKalmanSampling.jl
Oct 2020 - Sep 2022
Contributions:1 release, 15 commits, 14 pushes in 1 year 11 months
jbmuir/FEFMM.jl
Jan 2019 - Oct 2021
Contributions:31 commits, 1 PR, 20 pushes in 2 years 9 months
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