Dr. Ver Steeg’s research explores practical methods for inferring meaningful structure in complex systems. This work draws on a diverse set of connections between machine learning, information theory, causal inference, and physics. His recent work has applied these tools to solving outstanding problems in diverse domains including biology, natural language, and human behavior.