My name is Arthur Carcano, and I am currently a PhD student in Computer Science with the InBio team at Institut Pasteur and Inria in Paris.
As part of, and apart from, my PhD work, I program in Rust and Python.
Research-wise, I design 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 carry-out these experiments at the bench to demonstrate their high-yield of information.
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.
If you manage to crack my state-of-the-art anti-spam cipher, you can e-mail me at
email@example.com, in French, or English.
- I'm the creator of Fwd:AD, a rust library to perform forward auto-differentiation, with a focus on empowering its users 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)