The interplay of mathematical modelling with experiments is one of the central elements in
systems biology. The aim of reverse engineering is to infer, analyse and understand …

The use of mathematical methods for the analysis of chemical reaction systems has a very
long history, and involves many types of models: deterministic versus stochastic, continuous …

When I am called upon to teach fluid mechanics, I always show students a copy of Newton's
Principia. I do this for a number of reasons, not least of which is the connection I hope they …

Analysing the properties of a biological system through in silico experimentation requires a
satisfactory mathematical representation of the system including accurate values of the …

This paper is concerned with the dynamical properties of deterministically modeled chemical
reaction systems. Specifically, this paper provides a proof of the Global Attractor Conjecture …

Chemical Reaction Networks (CRN for short) can be effectively modeled by means of
nonlinear, parameter-dependent systems of ordinary differential equations. The uncertain …

Kinetic model identification relies on accurate concentration measurements and physical
constraints to limit solution multiplicity. Not having these measurements and prior knowledge …

We address the question of which small, bimolecular, mass action chemical reaction
networks (CRNs) are capable of Andronov–Hopf bifurcation (from here on abbreviated …

Inferring properties of the interaction matrix that characterizes how nodes in a networked
system directly interact with each other is a well-known network reconstruction problem …

We adopt a maximum-likelihood framework to estimate parameters of a stochastic
susceptible–infected–recovered (SIR) model with contact tracing on a rooted random tree …