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 (55)
partial-differential-equations9
julia9
shortest-path8
gmt8
gradient7
julialang7
event-handling7
control-flow6
kalman5
linear-algebra5
geophysics5
spatial5
earth-science5
automatic-differentiation5
geo5
Programming languages (8)
Github contributions (5)
jbmuir/EnsembleKalmanInversion.jl
Jul 2018 - Nov 2020
Ensemble Kalman Inversion in Julia
Contributions:35 PRs, 46 pushes, 2 branches in 2 years 4 months
juliakalman
jbmuir/TikhonovEnsembleKalmanSampling.jl
Oct 2020 - Sep 2022
Contributions:1 release, 15 commits, 14 pushes in 1 year 11 months
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