– discrete state Markov chains (both finite and infinite) and their applications (eg., to biology),
– random walks,
– properties of hitting times (metastable scaling),
– interacting particle systems,
– lattice based models (eg., Ising, percolation),
– statistical properties of random interfaces (eg., phase boundaries in statistical physics models, self-avoiding polygons),
– discrete renewal structures.