Name

Sebastian Ahnert

Complex, biological networks, noncoding DNA, time scales in microarray data, discrete dynamics

Nikita Alvaro

Sir Roy Anderson

Stochastic models of disease, Modelling drug administration,
Dynamics of amyloid diseases

Fabrizio Antenucci

Replica methods, Phase transitions in optimisation, Information theory, Machine learning

Marco Bardoscia

Statistical physics, socio-economic systems, theory of complexity, metabolic networks

James Barrett

Bayesian methods, Clinical trial design, Machine learning,
High-dimensional biomedical data

Paolo Barucca

Statistical physics, Systemic risk, Network theory

Jamie Blundell

Statistical mechanics, semi-flexible filaments, mathematical biology, evolvability, boolean dynamics

Guido Caldarelli

Scale-free networks, Fractal growth, Self-organised criticality,
Systems biology

Francesco Caravelli

Non-equilibrium dynamics, Spectral methods, Memristors,
Complex systems

Ciprian Coman

singular perturbation methods, solid mechanics, wrinkling instabilities of thin elastic plates & shells, discrete element modelling of parti

Ton Coolen

Disordered systems, Random graphs, Processes on complex networks, Mathematical bio-medicine, Market models

Oscar Dahlsten

Quantum information, Quantum computation, Non-equilibrium statistical mechanics, Probabilistics

10 people

Guido Caldarelli

Fellow

gc@lims.ac.uk

Scale-free networks

Fractal growth

Self-organised criticality

Systems biology

Prof. Guido Caldarelli is a Fellow at the London Institute and associate professor of physics at IMT Lucca. He studied physics at the University of Rome, Sapienza and did his PhD at the International School for Advanced Studies in Trieste on self-organized criticality. Prof. Caldarelli did postdocs at the University of Manchester and the University of Cambridge. He was an associate professor in the Italian CNR and a visiting professor at Ecole Normale Superieure and the University of Barcelona. His research interests are in the theory and application of the statistical physics of complex networks