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

Nicholas Day

Former Summer Undergraduate Research Fellow

a.nick.day@gmail.com

Combinatorics

Boolean networks

discrete mathematics

Day read mathematics as an undergraduate at King’s College, Cambridge, and is currently sitting the Part III Tripos in mathematics at Cambridge. He has spent the summers of 2011 and 2012 working on exact dynamics of Boolean clocks with simple topologies, funded in part by a grant from DARPA.