معرفی
Dan Suciu is a Professor at the University of Washington, specializing in database systems and theoretical computer science. His research focuses on query optimization, cardinality estimation, information theory, and the intersection of databases with programming languages and fairness concerns. He has collaborated extensively with researchers like Magdalena Balazinska, Mahmoud Abo Khamis, and Christopher Ré.
His work spans foundational database theory, algorithm design, and practical systems. Key areas include worst-case optimal joins, equality saturation for query optimization, and applying information theory to cardinality estimation. Recent projects explore causal reasoning in databases and algorithmic fairness through database repair techniques.
Publications highlight advancements in join algorithms, estimation frameworks (e.g., SafeBound, LpBound), and theoretical results in semiring-based query evaluation. His work bridges theory and practice, influencing both academic research and industrial systems.
Notable contributions include the Seattle and Cambridge reports on database research, outlining field priorities. His systems like Mosaic and Themis address open-world data and approximate query processing.
