Laura Mansfield
Machine Learning Engineer at Open Climate Fix
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLaura Mansfield is a Postdoctoral Research Fellow and Schmidt AI in Science Fellow at the University of Oxford with nine years’ experience applying machine learning, Bayesian statistics, and uncertainty quantification to climate and weather problems. Her work bridges top-tier academic institutions—most recently Stanford and Reading—and applied research environments like the Met Office Informatics Lab, combining rigorous theoretical grounding with operationally relevant modelling. She holds a PhD in Mathematics of Planet Earth and an MSci in Physics, and is known for translating complex probabilistic methods into tools that improve predictive skill under deep uncertainty. Notably, her profile reflects a pattern of short-term embedded collaborations with policy and operational partners, indicating an aptitude for interdisciplinary impact beyond pure academia.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics of Planet Earth, Doctor of Philosophy - PhD Mathematics of Planet Earth at University of ReadingMSci Physics, MSci Physics at Imperial College London
Github Skills (30)
sampling9
climate-science9
stochastic9
uncertainty8
diffusion-models8
parameter-estimation7
optimization6
machine-learning6
intermediate6
radiation5
pde-solver5
fortran5
atmosphere5
climate-model5
atmospheric-modelling4
Programming languages (6)
Github contributions (5)
lm2612/emulator
Jul 2021 - Dec 2025
Contributions:1 release, 8 pushes, 1 branch in 4 years 4 months
lm2612/MiMA
Nov 2021 - Jan 2025
Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation
Contributions:12 pushes, 3 branches in 3 years 2 months
complexityradiationsimulationatmosphereintermediate
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