My research interests are in the fields of data management and text analytics, including data-intensive computing, databases, text processing, search, and large-scale analytics and visualization. My PhD thesis at Stanford was on data integration, with an emphasis on both theoretical and practical aspects. My recent research, especially after spending a few quarters at Google and a few years doing a startup as its founder and CTO, has a strong preference on engineering and open source system building. I believe “Computer Science” is a “Science” to support great engineering, and we need to build systems to stay relevant in this fast-paced IT era. My recent research projects are closely related to social media data analytics due to its increasing importance in many disciplines.
Current Projects
Apache AsterixDB: An open source parallel database system for Big Data.
Cloudberry: A middleware system for Big Data visualization.
Texera: Collaborative data analytics using interactive workflows.
Current Fundings
NSF Award 2107150: III: Medium: Collaborative Research: Collaborative Machine-Learning-Centric Data Analytics at Scale
NSF Award 2200274: PIPP Phase I: An End-to-End Pandemic Early Warning System by Harnessing Open-source Intelligence
An ICS Research award.
A research grant from the Orange County Health Care Agency (OCHCA)
Past Projects
FLAMINGO: A project on data cleaning and string similarity queries.
IPUBMED: Efficient instant search on large amounts of data.
Family Reunification: Help people find their loved ones during or after a disaster.
Released Prototypes and Source Code Packages
Flamingo Packge: C++ package to do approximate string queries.