Caroline Morton
Medical doctor, epidemiologist, and systems engineer using Rust to make scientific software safer and more open.
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Dr. Caroline Morton is a medical doctor, epidemiologist, and software engineer working at the intersection of public health and modern software. She is the founder of two companies, the author of over 70 academic papers and two books, including Async Rust by O'Reilly, and the creator of open-source tools that bring systems-grade reliability to epidemiology. She also founded and runs Women in Rust. Her recent work focuses on using Rust to build auditable, reproducible infrastructure for scientific research and public good. She is on a mission to make scientific software safer, clearer, and more open - one crate at a time.
Clean Code for Good Science: Rust in Research and Health
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.
Rust for Good: Systems Programming in Science and Public Health
This proposed keynote will explore the emerging use of Rust in scientific and public health software - domains where reliability, safety, and transparency are essential. While Rust is still new in these fields, its guarantees align strongly with the needs of science: correctness, reproducibility, and long-term maintainability.
I’ll share examples from my own work in epidemiology, including tools for synthetic data generation and codelist management, and highlight other efforts across climate science, biomedical research, and open data platforms. I want to inspire researchers learning systems programming, and Rust developers looking for meaningful projects, to come together around a shared vision: using Rust to build better tools for science and the public good.
This talk will reflect both on what’s possible now and what we can do better - learning from the past to ensure the scientific software we build with Rust is open, reproducible, and built to last.
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