Raimundo Saona
LSE Fellow In Mathematics
London, England, Chile
Summary
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Rockstar🎓
Top SchoolRaimundo Saona is a mathematician-turned-software contributor with eight years of experience bridging rigorous mathematical research and practical statistical programming. Currently an LSE Fellow in Mathematics after completing a PhD at IST Austria, he specializes in probability distributions and numerical edge cases, bringing academic depth to applied code. His open-source contributions to the widely used Rust rand crate include implementing the Skew Normal distribution, hardening Fréchet handling, and adding tests for NaN and other edge scenarios—work that requires both mathematical modeling and careful systems-level thinking. Based in London and originally from Chile, he combines international research training with hands-on backend development in statically typed, performance-sensitive environments. Raimundo’s background makes him particularly effective at turning theoretical probability into robust, production-ready library code that anticipates pathological inputs.
8 years of coding experience
PhD student, Mathematics, PhD student, Mathematics at Institute of Science and Technology AustriaMagister, Applied Mathematics, Magister, Applied Mathematics at Universidad de Chile
Stackoverflow
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Github Skills (14)
randomization10
random-string10
random-data10
rust10
probability-distribution10
distributions10
testing10
numerical-analysis9
math9
mathematics9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (15)
Github contributions (5)
rust-random/rand
Jul 2020 - Sep 2021
A Rust library for random number generation.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 reviews, 9 commits, 2 PRs in 1 year 2 months
Contributions summary:Raimundo primarily contributed to the `rand` crate, focused on probability distribution implementations. Their work included adding the Skew Normal distribution, correcting the use of `std` by falling back to `core`, and modifying the Fréchet distribution. Furthermore, the user addressed edge cases and implemented tests to ensure the correctness of the distributions, including scenarios with NaN inputs. These changes involved mathematical modeling and code adjustments for statistical computations within the library.
rust-libraryprngrustsat-solverrandom-generation
saona-raimundo/asking
Aug 2021 - Jun 2022
Contributions:32 commits, 19 pushes, 1 branch in 10 months
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