Remy Wang

Remy Wang is an Assistant Professor in the Department of Computer Science at the University of California, Los Angeles. His research focuses on the optimization of modern data systems using advanced techniques from programming languages and databases. Wang has contributed to notable publications in areas such as Datalog, program synthesis, and equality saturation. His work has been recognized with awards including the PODS Best Paper Award in 2022 and the OOPSLA Distinguished Paper Award in 2021. He is affiliated with the UCLA Samueli School of Engineering and can be contacted at remywang@cs.ucla.edu or via his profile page at https://samueli.ucla.edu/people/remy-wang/.

Remy Wang is an Assistant Professor of Computer Science at UCLA, specializing in Databases and Programming Languages. His research focuses on advancing database systems through innovative techniques such as equality saturation, which enables efficient query optimization and transformation. Wang's work explores the integration of logical frameworks like Datalog with modern optimization strategies, aiming to enhance performance and correctness in large-scale data processing. His publications highlight advancements in join algorithms, tensor graph optimization, and semantic foundations of equality saturation, contributing to both theoretical and practical aspects of database theory and programming language design.