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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

Sebastian Ahnert

Visitor

sea31@cam.ac.uk

Complex

biological networks

noncoding DNA

time scales in microarray data

discrete dynamics

Ahnert read physics at Cambridge and did his Ph.D. at the Cavendish Laboratory, Cambridge with Michael Payne. He did a postdoc at the Curie Institute and later with Laszlo Barabasi at Northeastern University. He is currently a Royal Society University Research Fellow in the Theory of Condensed Matter group in the Cavendish and a Fellow of King’s College, Cambridge. Outside of research, his interests include photography and cooking.