Jialin Ding


I am an applied scientist at AWS, where I work on autonomics in Amazon Redshift.

I was previously a CS PhD in the MIT Data Systems Group, where I was advised by Prof. Tim Kraska. My research was on applying machine learning to database systems, with a focus on instance-optimized database design. I also collaborated with the Data Systems Group at Microsoft Research on learned data structures. Prior to MIT, I was an undergraduate at Stanford University, where I worked on data-intensive systems with Prof. Peter Bailis as part of Stanford DAWN. My research was partly supported by a Meta PhD Fellowship.

[CV] [Google Scholar] [Twitter]

Conference Publications

Workshop Publications & Short Papers

Journal Publications

Miscellaneous Publications

Teaching and Service