Jaime Zapatero
Research Software Engineer Working On Euclid And LSST at UCL
Oxford, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolJaime Zapatero is a research software engineer with eight years' experience building scientific infrastructure for major cosmology projects, currently supporting Euclid and LSST at UCL's Advanced Research Computing centre. He combines a PhD in Astrophysics from Oxford with practical expertise in probabilistic programming and Bayesian inference, having developed open-source statistical libraries in Julia and contributed to projects like TuringLang. Jaime has worked across academia and industry—from NLP at Satalia to probabilistic tooling at Cambridge—bridging domain science and production-ready code. He is particularly interested in accelerating Bayesian methods with gradients and Gaussian processes to make model-agnostic science tractable at survey scale.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Astrophysics, Doctor of Philosophy - PhD Astrophysics at University of OxfordUniversity College London
Github Skills (52)
bayesian-statistics10
artificial-intelligence10
probabilistic-programming10
spectra10
machine-learning10
mcmc10
bayesian10
sampler10
probabilistic10
probabilistic-models10
probabilistic-graphical-models10
bayesian-methods10
wolfram-language10
monte-carlo10
bayesian-inference10
Programming languages (8)
Github contributions (5)
JaimeRZP/Growz
Jun 2021 - Jul 2022
Contributions:200 pushes, 1 branch, 1 issue in 1 year 1 month
JaimeRZP/GaussianProcess.jl
Jun 2022 - Mar 2024
A Gaussian process package in Julia
Contributions:2 PRs, 47 pushes, 4 branches in 1 year 9 months
gaussian-processgaussianjulia
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