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This talk explores what it means to write scientific software that lives up to the standards we expect of science itself.
Good science demands transparency, reproducibility, and rigour. The software underpinning it should be no different. In labs, hospitals, and research institutes, Rust is beginning to appear where it matters most: places where correctness and clarity aren't just nice-to-haves, but the foundations of trustworthy research.
This talk explores what it means to write scientific software that lives up to the standards we expect of science itself. We'll look at how Rust's emphasis on explicitness and safety aligns naturally with the principles of open, reproducible research, and how we can go further by treating tests as proof, documentation as methodology, and readable code as a form of scientific communication.
Drawing on examples from epidemiology, synthetic data, and biomedical infrastructure, we'll examine how to build tools that are auditable, maintainable, and built to last. We'll also reflect on how the choices we make today, in our dependencies, our environments, and our defaults, shape whether the next generation of researchers can understand, verify, and build on our work.
In this introductory talk, we will explore what it means to "Ratatuify" the Rust package manager, Cargo.
This talk puts popular Rust rewrites to the test. We'll examine how these tools stack up against their battle-tested predecessors, looking at real-world performance, compilation times, binary sizes, feature completeness, and ecosystem maturity.
In 2024, I added the `Option::as_slice` and `Option::as_mut_slice` methods to libcore. This talk is about what motivated the addition, and looks into the no less than 4 different implementations that made up the methods. It also shows that even without a deep understanding of all compiler internals, it is possible to add changes both to the compiler and standard library.
I'll initiate you in the art of 'CAN bus sniffing': Connecting to the central nervous system of a modern car, interpreting the data, and seeing what we can build as enthousiastic amateurs.
I'll share a few tricks to help you write cleaner, more powerful declarative macros. You'll also get a sneak peek at the nightly features to see what's coming next macro_rules! world.
