Luca Cardelli

This study analyzes noise in biomolecular topologies that implement derivative-action signal differentiation, showing that noise amplification can be avoided.

The paper introduces AC-BioSD, a biomolecular signal differentiator with improved performance in signal differentiation and noise attenuation.

This paper develops control strategies for two-output biomolecular networks to achieve robust regulation despite coupling interactions and disturbances.

This paper designs a tunable PID bio-controller with set point weighting and filtered derivative action for biomolecular process regulation, demonstrating its effectiveness through simulations.

This paper identifies biomolecular mechanisms for time derivative computation in cells and proposes synthetic differentiator designs based on natural regulatory networks.

The paper introduces the Beacon Calculus, a process algebra for modelling biological systems, and demonstrates its application to DNA replication, DNA damage repair, and multisite phosphorylation.