Highly structured models: multi-scale models, spatial-temporal models, Markov random fields, state-space models
Bayesian Statistics
Computational statistics: Markov chain Monte Carlo, simulated annealing and genetic algorithms
Inverse problems: solution and uncertainty characterization
Applications to environment, medicine, epidemiology