Name

Complex, biological networks, noncoding DNA, time scales in microarray data, discrete dynamics

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

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

Statistical physics, socio-economic systems, theory of complexity, metabolic networks

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

Statistical physics, Systemic risk, Network theory

Mathematical ecology, Natural resource management,
Sustainability

Statistical mechanics, semi-flexible filaments, mathematical biology, evolvability, boolean dynamics

Scale-free networks, Fractal growth, Self-organised criticality,
Systems biology

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

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

Quantum information, Quantum computation, Non-equilibrium statistical mechanics, Probabilistics

Combinatorics, Boolean networks, discrete mathematics

46 people

Rob Farr

Associate Fellow

robert.s.farr@gmail.com

Novel structures and materials

Fractals

Fractal mechanics

Dynamics of innovation

Resilience

Dr Robert Farr is an Associate Fellow at the London Institute and a Senior Scientist at Jacobs Douwe Egberts, UK. Dr Farr studied physics at the University of Cambridge, winning the Clerk Maxwell University Prize for physics. He was a Senior Research Scientist at Unilever and concurrently held a visiting appointment at the University of Nottingham. Dr Farr applies geometric ideas to materials science and classical physics, especially to multi-scale and fractal systems.