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JaimeRZP/README.md

Jaime Ruiz Zapatero

I am a research software engineer at the Advanced Research Computing (ARC) centre of University College London (UCL) developing infrastructure for the LSST and Euclid cosmological surveys to enable new science. I also have a deep interest in accelerating Bayesian inference with gradient methods and Gaussian processes as tools for model-agnostic science.

Top Langs

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  1. TuringLang/Turing.jl Public

    Bayesian inference with probabilistic programming.

    Julia 2.1k 223

  2. TuringLang/AdvancedHMC.jl Public

    Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

    Jupyter Notebook 268 44

  3. MicroCanonicalHMC.jl Public

    Implementation of Arxiv:2212.08549 in Julia

    Julia 12 2

  4. LimberJack.jl Public

    Auto-differentiable methods for Cosmology

    Julia 8 1

  5. GaussianProcess.jl Public

    A Gaussian process package in Julia

    Julia

722 contributions in the last year

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Activity overview

Contributed to JaimeRZP/3x2_analytical, LSSTDESC/nz_prior, JaimeRZP/LimberJack.jl and 23 other repositories
Loading A graph representing JaimeRZP's contributions from March 03, 2024 to March 08, 2025. The contributions are 82% commits, 14% pull requests, 3% issues, 1% code review. 1% Code review 3% Issues 14% Pull requests 82% Commits

Contribution activity

March 2025

Created 1 commit in 1 repository
Opened 2 pull requests in 1 repository
heracles-ec/heracles 2 open
Reviewed 1 pull request in 1 repository
heracles-ec/heracles 1 pull request

Created an issue in heracles-ec/heracles that received 3 comments

Covariance IO

Goal We want to add io to manage the input and output of covariance products into Heracles. So later, @gcanasherrera can add it to euclib. Functions …

3 comments
Opened 1 other issue in 1 repository
heracles-ec/heracles 1 closed
1 contribution in private repositories Mar 5
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