I am a third year graduate student at MIT, working with Mike Stonebraker in the CSAIL Database Research Group. My current work focuses on producing scalable visual exploration systems. I will be working with Danyel Fisher at Microsoft Research this summer.
I have a MS in Computer Science from MIT (2013), and a BS in Computer Engineering from the University of Washington (2011). As an undergraduate, I worked with Magda Balazinska and Bill Howe on online SQL support tools for domain scientists.
Modern database management systems (DBMS) have been designed to efficiently store, manage and perform computations on massive amounts of data. In contrast, many existing visualization systems do not scale seamlessly from small data sets to enormous ones. We have designed a three-tiered visualization system called ScalaR to deal with this issue. ScalaR dynamically performs resolution reduction when the expected result of a DBMS query is too large to be effectively rendered on existing screen real estate. Instead of running the original query, ScalaR inserts aggregation, sampling or filtering operations to reduce the size of the result.