About me

My name is Arthur Carcano, and this website is mostly dedicated to my passion for computer programming. I mostly enjoy programming in Rust, and have authored various libraries and programs in it. I've been one of the organizers of the Rust Paris¹ event since the 2024 edition.

You can find my computer science related writings on my and my employer's blogs. I also sometimes write about other topics in Contre-feu [fr].

Before being a software engineer, I worked in academic research, and got my PhD in Mathematics and Computer Science when I was part of the InBio team at Institut Pasteur and Inria in Paris.

There, I designed algorithms that use statistical and probabilistic methods to measure how much information biologists can obtain from an experimental protocol, and use this informativeness measure to automatically design the most interesting experiments to perform. I also designed and implemented a software ecosystem around these methods. More information on this topic is available in my PhD. manuscript.

Before starting my PhD, I was a student at the computer science department of École Normale Supérieure (ENS) in Paris, France. While at the ENS, I graduated from the Interdisciplinary approaches to life master program, and from the Parisian master of research in Computer Science.

Contact me

If you manage to crack my state-of-the-art anti-spam cipher, you can e-mail me at art__r.carc__o+website@gmail.com, in French, or English.

Event talks and scientific publications

• What really happens when you start panic!ing?, A. Carcano, Rust in Paris (youtube)
• Owi: performant parallel symbolic execution made easy, an application to WebAssembly, L. Andrès, F. Marques, A. Carcano, P. Chambart, J. Fragoso Femenin dos Santos, J.C. Filliâtre , The Art, Science, and Engineering of Programming (hal)
• Ratiometric quorum sensing governs the trade-off between bacterial vertical and horizontal antibiotic resistance propagation, A. Banderas, A. Carcano, E. Sia, S. Li, A. B. Lindner, PLOS Biology, 2020 (plos)
• Can optimal experimental design serve as a tool to characterize highly non-linear synthetic circuits?, M. Kryukov, A. Carcano, G. Batt, J. Ruess, European Control Conference, 2019 (hal)
• Probably approximately correct learning of regulatory networks from time-series data, A. Carcano, F. Fages, S. Soliman, Computational Methods in Systems Biology, 2017 (hal)

ORCID