(6/20) Received an NSF RAPID grant with Profs. Gloria Mark and Suellen Hopefer on Covid-19 analysis using social media.
(6/20) Our paper titled "Demonstration of Interactive Runtime Debugging of Distributed Dataflows in Texera" has been accepted by VLDB 2020.
(4/20) Teaching CS122B ("Projects in Databases and Web Applications") and STATS ("Project in Data Science") this quarter.
(3/20) Check the CoronavirusTwitterMap our team is developing to visualize coronavirus-related tweets.
(3/20) Our paper titled "Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization" has been accepted by ACM SIGMOD 2020.
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: Big data analytics using interactive workflows.
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.