The probability group at Cambridge



   
  Participating Faculty 


Name Photo Research Interests
Dr. Sebastian Andres Stochastic analysis, random processes in random environment, heat kernels, stochastic processes with reflection.
Dr. Roland Bauerschmidt Random matrices, statistical mechanics.
Prof. Nathanaël Berestycki Gaussian free field, SLE, Liouville quantum gravity, dimer model and random tilings, random graphs, branching and coalescing systems, and relation to partial differential equations.
Prof. Geoffrey Grimmett Percolation, stochastic models in statistical physics.
Dr. Jason Miller Schramm-Loewner evolution (SLE), Gaussian free field, Liouville quantum gravity, random planar maps, random walks, mixing times for Markov chains.
Prof. James Norris Stochastic Analysis, Markov chains, dynamics of interacting particles, Malliavin calculus, coagulation and aggregation, scaling limits.
Dr. Perla Sousi Random walks, Brownian motion, mixing times for Markov chains, percolation.


   
  Postdocs 


Name Photo Research Interests
Dr. Jonathan Hermon Discrete probability theory, with special emphasis on mixing times of Markov chains and cutoff phenomenon. Particle systems driven by random walks and dependent percolation.
Dr. Tom Hutchcroft Planar graphs, circle packing, random graphs, maps, and other structures, random walk, potential theory, spanning forests, percolation, spin systems, self-avoiding walk, probability on groups, random permutations.
Dr. Marcin Lis Statistical mechanics, combinatorics, scaling limits.
Dr. Wei Qian Probability, Statistical mechanics, Brownian loop-soups, Gaussian free field, Schramm-Loewner evolution (SLE)
Dr. Vittoria Silvestri Hastings-Levitov models, internal DLA, random growth models, random walks on quasi 1d structures.


   
  PhD students 


Name Photo Research Interests Advisor
James Bell Stochastic Analysis Prof. J. Norris
Guillaume Baverez Liouville Quantum Gravity. Dr. J. Miller
Oliver McEnteggert Schramm-Loewner Evolutions, Gaussian Free Field, Liouville Quantum Gravity, Stochastic Analysis Prof. J. Norris
Daniel Heydecker Stochastic analysis, particularly convergence of Markov chains. Prof. J. Norris
Antoine Jego Gaussian Free Field, Random Walks, Liouville Quantum Gravity Prof. N. Berestycki
Piet Lammers Random discrete functions, Gaussian free field. Prof. J. Norris
Peter Taylor Stochastic analysis, the Random Conductance Model, interacting particle systems and SPDEs. Dr. S. Andres
Sam Thomas Mixing times, in particular of dynamically evolving systems; stochastic networks Dr. P. Sousi
Mo-Dick Wong Gaussian free field, Liouville quantum gravity, random matrices, log-correlated fields and multifractal processes. Prof. N. Berestycki