Ryan Marcus is a researcher who has focused on topics such as survivorship bias in industrial database workloads, offline query planning, query optimization, adaptive sharding, and consensus algorithms. Their work also delves into topics such as generalization in selectivity learning, cardinality learning, and reinforcement learning. Marcus has contributed to research in the field of data management through various publications and collaborations with fellow researchers.
The above text was generated with a large language model. The results are thus statistically-likely, but may not be accurate. Generated texts have been shown to reproduce the biases of the text they were trained on.