Trustee
Mathematical ecology, Natural resource management, Sustainability
BCG Henderson Institute Postdoc
Dynamics of innovation, String theory, Quantum gravity, Machine learning, Galton-Watson processes
Trustee
Combinatorics, Evolvability, Technological innovation, Resilience, Graph theory, Fractal mechanics
Associate Fellow
Electronic structure theory, Crystal structure prediction, High-pressure physics, Solid state NMR
Associate Fellow
Novel structures and materials, Fractals, Fractal mechanics, Dynamics of innovation, Resilience
Associate Fellow
Technological progress, Financial instability, Dynamical systems, Theoretical biology
Fellow
Economic complexity, Financial risk, Complex systems, High-T superconductivity
Senior Postdoc
Non-equilibrium dynamics, Spectral methods, Memristors, Complex systems
Senior Postdoc
Bayesian methods, Clinical trial design, Machine learning, High-dimensional biomedical data
Senior Postdoc
Replica methods, Phase transitions in optimisation, Information theory, Machine learning
Trustee
Stochastic models of disease, Modelling drug administration, Dynamics of amyloid diseases
Fellow
Disordered systems, Random graphs, Processes on complex networks, Mathematical bio-medicine, Market models
Senior Postdoc
Statistical physics, Systemic risk, Network theory
46 people
Luciano Pietronero
Fellow
Economic complexity
Financial risk
Complex systems
High-T superconductivity
Prof. Luciano Pietronero is a Fellow of the London Institute and professor of physics at the University of Rome, Sapienza. Prof. Pietronero studied physics in Rome and was a research scientist at Xerox Webster and Brown Boveri. He then moved to Groningen in the Netherlands, where he was professor in condensed matter theory. In 2004 he founded the Institute for Complex Systems at Sapienza and was director for 10 years. Prof. Pietronero was chairman of StatPhys 23 and won the Fermi Prize, the highest award of the Italian Physical Society. His current research interests are in applying quantitatice concepts from physics to economic complexity, finance and risk.