Ryan Marcus is a researcher who focuses on adaptive systems, fault-tolerant consensus, query optimization, and machine learning applications in database management. Their work explores the intersection of blockchain technology, reinforcement learning, generalization in selectivity learning, and query optimization techniques in various database systems. They have also made contributions towards robust query optimization and workload management in cloud-based databases. Additionally, they have explored the concept of learned query superoptimization.
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