Laura Mansfield
Postdoctoral Research Fellow at University of Oxford
Oxford, England, United Kingdom
Summary
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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.
9 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, 1st, MSci, Physics, 1st at Imperial College London
Github Skills (34)
sampling9
stochastic9
uncertainty9
parameter-estimation8
optimization7
machine-learning6
complexity5
radiation5
intermediate5
atmosphere5
atmospheric-modelling4
simulation4
climate-model4
fortran4
probabilistic4
Programming languages (6)
Github contributions (5)
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
lm2612/emulator
Jul 2021 - Feb 2024
Contributions:6 pushes, 1 branch in 2 years 6 months
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