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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

Doyne Farmer

Associate Fellow

doynefarmer@gmail.com

Technological progress

Financial instability

Dynamical systems

Theoretical biology

Prof. J. Doyne Farmer is an Associate Fellow at the London Institute, Professor in the Mathematical Institute at the University of Oxford, and an External Professor at the Santa Fe Institute. He was an Oppenheimer Fellow, the founder of the Complex Systems Group at Los Alamos National Laboratory and a founder of Prediction Company, a quantitative automated trading firm. Prof. Farmer’s past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. Currently his research is in economics, including agent-based modeling, financial instability and technological progress.