Ronald Fagin

Ronald Fagin is a Research Fellow at IBM Research - Almaden, renowned for his groundbreaking contributions to database theory, finite model theory, and reasoning about knowledge. His work bridges logic with practical applications in computer science, including entity resolution, query answering, and uncertainty modeling.

• Ph.D. in Mathematics, UC Berkeley
• B.A. in Mathematics, Dartmouth College

His research focuses on applying logic to computer science, particularly in database theory, finite model theory, and knowledge representation. His recent work explores quantifier complexity, multi-structural games, and ontology-driven data integration.

His publications span database theory, logic, and information extraction, with a strong emphasis on formal frameworks and complexity analysis. Key themes include entity linking, uncertainty reasoning, and algorithmic voting theory.

• Member of National Academy of Sciences
• Member of National Academy of Engineering
• Recipient of Gödel Prize and IEEE Technical Achievement Award
• Laurea Honoris Causa (Italy) and Docteur Honoris Causa (France)
• Senior Fellow of ACM, IEEE, and AAAS

Ronald Fagin has mentored prominent collaborators in database theory and information extraction. His research includes leading projects on imprecise probabilistic logic and developing frameworks for knowledge representation under uncertainty.