Luís L. Fonseca

Learning dynamical systems with biochemically informed neural ordinary differential equations

The paper introduces BINODEs, a neural-ODE framework that integrates biochemical knowledge into dynamical models to improve interpretability and flexibility in modeling biochemical systems.

Control of Medical Digital Twins with Artificial Neural Networks

This paper introduces dynamics-informed neural-network controllers for medical digital twins and benchmarks them against other methods using agent-based models.

A Mathematical Model of the Phosphoinositide Pathway

The paper develops a computational model of the phosphoinositide pathway in mammalian cells, showing it replicates steady-state and dynamic phenomena and identifies key contributors to PI(4,5)P2 production.