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.