Research Interests

My research focuses on continuous and discrete optimization, as well as on game theory, covering both separate problems and questions that lie in the intersection of the two fields.

From an optimization perspective, I am mainly interested in nonconvex constrained optimization, semidefinite programming, conic linear optimization, and mixed-integer linear programming, with a particular focus on the developement of efficient algorithms, numerical methods, duality theory, as well as convergence and iteration complexity analysis.

On the game-theoretic side, I am primarily interested in payoff control and the role of memory in discounted repeated games, with applications to social dilemmas. I am also working on classical problems in economic game theory, related to behavioral complexity and the computation of subgame perfect equilibria in games of imperfect monitoring.