Eugene Wu

Bio

Eugene Wu is an associate professor of computer science at Columbia University. He is broadly interested in technologies that help users play with their data. His goal is for users at all technical levels to effectively and quickly make sense of their information. He is interested in solutions that ultimately improve the interface between users and data, and uses techniques borrowed from fields such as data management, systems, crowd sourcing, visualization, and HCI. Eugene Wu received his Ph.D. from MIT, B.S. from Cal, and was a postdoc in the AMPLab. A profile, an obit.

Eugene Wu has received the VLDB 2018 10-year test of time award, best-of-conference citations at ICDE and VLDB, the SIGMOD 2016 best demo award, the NSF CAREER, and the Google, Adobe, and Amazon faculty awards.

Joining The Lab

I’m recruiting at the intersection of database and HCI, or LLM agents and data systems (less to use LLMs, more to develop infrastructure for agents). Applicants should have taken courses in both areas and/or have experience in both areas.

• PhDs: read the lab’s work and provide evidence you can conduct research in the lab. Include “bananas” in the subject line. Strongly suggest reading The PhD Application from a Faculty’s Perspective.
• Postdocs: share thoughts on how you can best make use of my expertise. Include “satsuma” in the subject line. Strongly suggest reading The PhD Application from a Faculty’s Perspective, as it mostly applies too.
• Interns + UGrad + Masters: Fill out this form

Info

ewu@cs.columbia.edu
421 Mudd, 500 W 120th St
Twitter: @sirrice
Github: sirrice, cudbg
OH: Tues 10-11AM EST 421 Mudd
CV

Co-Chair: Data, Media & Society
Advisor: Journalism + CS Dual Degree
Member: Columbia DB, Columbia CS, DSI

Support: NSF 1527765, 1564049, 1845638 (CAREER), 1740305, 2008295, 2106197, 2103794, 2312991, Amazon, Google, Adobe, CAIT, Columbia SIRS

The WuLab Blog

Research Overview (circa 2022)