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
James Barrett
Senior Postdoc
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.