I am interested in devising the best way to act in problems modelled as complex networks, or more generally real-world situations represented as dynamical systems. The objective is to get a handle on how such systems may evolve over time. My formal methods and verification background means I come from an analytical and computational perspective. My research focuses on applying mathematical methods (e.g., control theory, approximation methods, stochastic optimisation) and computational techniques (rule-based machine learning, deep reinforcement learning) to the controllability of complex networks.