At MAPS Lab, we advance modeling and analytics for predictive systems through research spanning big data, data science, network science, and machine learning. Our work investigates complex phenomena through heterogeneous data and evolving structure at scale, combining computational modeling, data engineering, and multimodal data integration within unified frameworks. Our research focus on data-driven methods for prediction, monitoring, and decision support across complex and data-intensive domains.