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

Jamie Blundell

Former Postdoc

jamie.blundell@gmail.com

Statistical mechanics

semi-flexible filaments

mathematical biology

evolvability

boolean dynamics

Blundell read physics at Sydney Sussex College, Cambridge, before sitting the Physics Tripos Part III. He did his Ph.D. at the Cavendish Laboratory, Cambridge with Eugene Terentjev, where he divided his time between the Theory of Condensed Matter and Biological and Soft Systems groups. He did a postdoc at LIMS with funding from DARPA and DTRA before starting a Stanford postdoc with Daniel Fisher in 2012.