Eugene Wu
Scholar

Eugene Wu

Google Scholar ID: X53rkecAAAAJ
Columbia University
Databasesagent ready systemsdata visualizationdata explanationdata debugging
Citations & Impact
All-time
Citations
3,645
 
H-index
30
 
i10-index
69
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Received the VLDB 2018 10-year test of time award, best-of-conference citations at ICDE and VLDB, SIGMOD 2016 best demo award, NSF CAREER, and Google, Adobe, and Amazon faculty awards. Presented multiple research works at SIGMOD 2025, including Saibot, Joinboost, Pollock, and ConnectorX.
Research Experience
  • Co-Chair of Data, Media & Society, Co-Director of DAPLab, Advisor for CS+Journalism MS Dual Degree. Focus on projects in the new Data, Agents, Processes Lab: operating and data systems to support agent automation in practice, and the applications they can enable. Interested in problems where academic research has a competitive advantage.
Education
  • Ph.D. from MIT, B.S. from Cal, and was a postdoc in the AMPLab.
Background
  • Associate Professor of Computer Science at Columbia University. Broadly interested in technologies that help users play with their data, aiming for all technical levels to effectively and quickly make sense of their information. Interested in solutions that improve the interface between users and data, using techniques from data management, systems, crowd sourcing, visualization, and HCI.
Miscellany
  • Twitter: @sirrice, BSky: @eugenewu.net, Github: sirrice, cudbg. Office hours: Thurs 11:30AM EST (421 Mudd)