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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

James Barrett

Senior Postdoc

jeb@lims.ac.uk

Bayesian methods

Clinical trial design

Machine learning

High-dimensional biomedical data

Dr James Barrett is a senior postdoc in physics at the London Institute. He studied physics at Trinity College, Dublin and did his MSc in Mathematics at King’s College London. He did his PhD, also at King’s, at the Institute for Mathematical and Molecular Biomedicine. After his PhD, Dr Barrett did a postdoc at the UCL Cancer Institute at University College London. His current focus is the statistical analysis and bioinformatics of next generation sequencing and microarray data. Dr Barrett has lectured in medical statistics at the Department of Public Health in King’s College London and spent a year developing machine learning methods in the cybersecurity industry.