Zerotti Woods is an assistant research professor in the Whiting School of Engineering’s Department of Applied Mathematics and Statistics, whose work integrates mathematical modeling, machine learning, and real-world problem solving. His research focuses on developing data-driven methods that help analyze complex systems and support informed decision-making in high-consequence environments.
Woods’ research lies at the intersection of applied mathematics, data science, machine learning, and intelligent systems. He develops mathematically grounded approaches for analyzing complex and heterogeneous data, with interests spanning statistical learning, data fusion, optimization, uncertainty-aware modeling, and AI-enabled analysis of complex systems. His work emphasizes connecting theoretical insights with practical applications across domains where prediction, inference, and decision-making play a critical role.