Matrix Optimization Problems: algorithms, applications, and theory. In particular, large scale semidefinite programming. Fast algorithms for large scale statistical and machine learning problems. Iterative methods for large linear systems of equations, especially those arising in optimization.
Stochastic control, Stochastic models, Robust decision making and learning, Decentralized optimization, Control of stochastic systems, Applications in financial engineering and Operations Research