Regular biography
Jialin Ding is an Assistant Professor in the Department of Computer Science at Princeton University. He works broadly on applying machine learning and optimization techniques to improve data management systems. Prior to joining Princeton, he was an Applied Scientist at AWS, and he received his PhD in computer science from MIT. His work has been recognized by a Meta Research PhD Fellowship.
Scholar-generated biography
Jialin Ding is an Assistant Professor of Computer Science at Princeton University, specializing in ML for Systems, Data Management, and Computer Systems. Her research focuses on integrating machine learning into database systems to enhance performance and efficiency. Key projects include the development of learned indexes, such as ALEX and Tsunami, which adapt to data patterns for faster query processing. She also explores instance-optimized data layouts and learned spatial indexes to improve data analytics. Her work emphasizes the application of machine learning in databases, data lakes, and biological sequence analysis, aiming to bridge the gap between traditional systems and AI-driven approaches.