Last edit

Mathematical ecology, Natural resource management,
Sustainability

Dynamics of innovation, String theory, Quantum gravity, Machine learning, Galton-Watson processes

Combinatorics, Evolvability, Technological innovation, Resilience,
Graph theory, Fractal mechanics

Electronic structure theory, Crystal structure prediction, High-pressure physics, Solid state NMR

Novel structures and materials, Fractals, Fractal mechanics,
Dynamics of innovation, Resilience

Technological progress, Financial instability, Dynamical systems,
Theoretical biology

Economic complexity, Financial risk, Complex systems,
High-T superconductivity

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

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

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

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

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

Statistical physics, Systemic risk, Network theory

46 people

Marco Bardoscia

Postdoc

marco.bardoscia@gmail.com

Statistical physics

socio-economic systems

theory of complexity

metabolic networks

Marco Bardoscia got his Ph.D. in Theoretical Physics at the University of Bari and spent three years as postdoctoral fellow at ICTP. His research interests are focused on interdisciplinary applications of ideas and techniques of statistical physics.