The London Institute combines researchers in the mathematical sciences with staff drawn from coding, design, journalism, business and finance. They work closely together to make, fund and communicate the breakthroughs of the Institute and make it more than the sum of its parts.i
Children’s rights, international affairs, corporate finance and financial services.
Dame Shirley Porter
Environmental sciences, sustainability, technology transfer and academic governance.
Materials, surface science, technology, geomorphology and what drives discoveries.
Sir Peter Williams
Applied physics, semiconductors, magnetic resonance, science policy and governance.
Former Associate Fellow
Dynamical systems, technological progress, financial instability and theoretical biology.
Random and extremal graphs, functional analysis, isoperimetric problems and percolation.
Disordered systems, random graph theory, market models and mathematical biomedicine.
Quantum information and computation, non-equilibrium physics and energy harvesting.
Electronic structure theory, novel materials, high-pressure physics and solid state NMR.
Economic complexity, cascading risk, complex systems and high-T superconductivity.
Medical image processing, AI healthcare, digital twins and autonomous surgical robots.
Replica methods, phase transitions, optimisation, information theory and learning.
Mathematical finance, financial risk, complexity and network theory and metabolic networks.
Statistical physics, financial systemic risk, network theory and science communication.
Soft condensed matter, semi-flexible filaments, mathematical biology and evolvability.
Non-equilibrium dynamics, spectral methods, memristive circuits and modified gravity.
Biophysics, theory of neutral evolution, genospace algebra and software development.
Bayesian inference, disordered systems, network Science and gene regulatory networks.
Economics of innovation, applied econometrics, networks and environmental economics.
Disordered systems, replica method, Bayesian inference and mathematical immunology.
Extremal and probabilistic combinatorics, percolation, graph theory and probability.
Survival analysis, Bayesian methods, complex data analysis and software development.
Former Research Scientist
Statistical physics, computational physics, complex networks and cascading failure.
Distributed systems, AI, reliability, cloud computing and peer-to-peer architecture.
Probabilistic combinatorics, random discrete structures and bootstrap percolation theory.
Former BCGH Postdoc
Combinatorial innovation, string theory, modified gravity, finance and machine learning.
Graph theory, random matrices, probability, spectral methods and evolutionary games.
Astrophysics, galaxy formation, theory of neutral evolution and stochastic processes.
Spectral graph theory, memristive circuits, disordered systems and applied mathematics.
Former office manager
Travel, gadgets, architecture, environment and art.
former science writer
Dr Cole is a science writer for LIMS, where she contributes to our website, and a postdoc in cosmology at the University of Amsterdam.
Former Grants Officer
Research grants, business development, financial strategy and organizational intelligence.