Moses Boudourides is a mathematician and interdisciplinary scholar specializing in network science, machine learning, data science and ethical computation. He serves as faculty at Northwestern University’s School of Professional Studies, where his work bridges formal mathematical theory with empirical and computational approaches across the social sciences. His research spans complex networks, knowledge graph theory, and the methodological and ethical implications of artificial intelligence, with recent work focusing on causal inference with large language models and the role of AI in qualitative and mixed-methods research. He has also developed computational pipelines for large-scale text and data analysis, including projects on visual epistemology and scientific representation. Boudourides’ work is characterized by a synthesis of rigorous mathematical modeling and applied data science, often engaging with questions at the intersection of epistemology, technology, and society.

machine learning, network science, graph and hypergraph analysis and prediction, AI & Ethics