Leonardo Giannantoni

The paper introduces BiSDL, a modeling language for multicellular synthetic biology, enabling spatial and multi-level cellular dynamics representation and simulation.

This study applies reinforcement learning to optimize synthetic biological networks by controlling Hopf bifurcations in ODE-based systems, showing its ability to identify bifurcation onset while facing challenges in persistent oscillations and computational speed.

This paper introduces a co-simulation-based optimization methodology for biofabrication protocols, demonstrating its feasibility in generating epithelial cell monolayer fabrication protocols.