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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.