Chen Li
Scholar

Chen Li

Google Scholar ID: BRMbGhgAAAAJ
Professor of Computer Science, UC Irvine
Data managementdatabasebig datadata analyticsvisualization
Citations & Impact
All-time
Citations
3,626
 
H-index
30
 
i10-index
86
 
Publications
20
 
Co-authors
40
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Recipient of the NSF CAREER Award
  • Multiple test-of-time publication awards
  • ACM Distinguished Member
  • IEEE Fellow
  • Treasurer and Board Member of the VLDB Endowment since January 2020
  • PC Co-Chair of VLDB 2015
  • General Chair of ICDE 2023
  • General Co-Chair of SIGMOD 2027
  • Served on program committees or editorial roles for top-tier conferences including SIGMOD, VLDB, and ICDE
  • Associate Editor for IEEE TKDE (2018–2022)
  • Texera codebase officially donated to the Apache Software Foundation in 2025
  • Supervised PhD student Yicong Huang’s thesis titled 'UDF-Centric Dataflow Systems for Supporting User-defined Functions in Collaborative and Interactive Data Science, AI, and ML'
  • Student Yicong Huang received the UC Irvine 2025 Most Promising Future Faculty Award
Research Experience
  • Co-Principal Investigator (co-PI) of the Apache AsterixDB project
  • Leading the development of the Texera open-source system since 2016 to support cloud-based collaborative data science, AI, and ML via workflows
  • Part-time visiting research scientist at Google
  • Co-founder and CTO of a startup to commercialize his research
  • Faculty Director of the ICS Master of Computer Science Program at UCI from July 2020 to June 2024
Background
  • Professor in the Department of Computer Science at the University of California, Irvine (UCI)
  • Research interests include data management, data-intensive computing, databases, query processing and optimization, machine learning-based systems, data science, search, and visualization
  • Current focus is on building open-source systems for big data management, data science, and AI/ML
  • PhD thesis at Stanford focused on data integration with both theoretical and practical aspects
  • Recent research is strongly influenced by his experience as a visiting scientist at Google and as co-founder/CTO of a startup, emphasizing engineering and open-source system development
  • Believes that 'Computer Science' should support great engineering, and building systems is essential to remain relevant in the fast-paced IT era