Panagiotis (Panos) Toulis studies causal inference and experimental design in complex systems, such as multi-agent economies and social networks, in order to evaluate the efficacy of interventions on such systems. Applications of this research include market design and policy analysis. He focuses...
Panagiotis (Panos) Toulis studies causal inference and experimental design in complex systems, such as multi-agent economies and social networks, in order to evaluate the efficacy of interventions on such systems. Applications of this research include market design and policy analysis. He focuses on three distinct problems, namely interference, entanglement, and dynamics, each of which can invalidate classical causal methods. He is also interested in the interface of statistics and optimization, particularly the principled statistical analysis of large data sets, with a focus on implicit stochastic approximation methods, which are numerically stable.