Dr. Schweinberger's research is concerned with the statistical analysis of complex, dependent, and high-dimensional data, first and foremost network data. Network data arise in, e.g., economics (e.g., contagion in financial markets), the health sciences (e.g., contagion of disease), biology (e.g., protein-protein interaction), political science (e.g., insurgencies), sociology (e.g., crime), machine learning (e.g., social networks, World Wide Web), and disaster and terrorism research. Owing to the dependent and high-dimensional nature of network data, the statistical analysis of network data gives rise to many conceptual, computational, and statistical challenges. His research has focused on tackling these conceptual, computational, and statistical challenges.