Ryan Marcus is a researcher focused on query optimization and adaptive systems in database management. Their work often involves machine learning techniques to improve query performance and workload management in various database systems. They have contributed to projects related to blockchain adaptivity, query execution time prediction, and learned query optimization. Marcus also explores the integration of domain knowledge into learned databases for enhanced performance.
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