My name is Arthur Carcano, and I am currently a PhD student with the InBio team at Institut Pasteur and Inria in Paris. My research is focused on how methods from statistics and probability can be used to measure the amount of information we can obtain from a given experiment, and using this measure to choose and optimal experiment to perform.
Before starting my PhD, I was a student at the AIV master in biology, and at École Normale Supérieure in computer science.
Apart from my PhD work, I enjoy programming in Rust.
- Fwd:AD is a rust crate to perform forward auto-differentiation, with a focus on empowering its user to manage memory location and minimize copying.
- 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)