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 looking for a student to work at the intersection of LLM agents and data systems, or database and HCI. Applicants should have taken courses in both areas and/or have experience in both areas.
PhDs: get to understand the lab's work and provide evidence you can conduct research in the lab. Include "bananas" in the subject line. See youtube videos of how to approach the application.
Postdocs: share thoughts on how you can best make use of my expertise. Include "satsuma" in the subject line.
Interns + UGrad + Masters read the list of projects looking for help.

Info

ewu@cs.columbia.edu
421 Mudd, 500 W 120th St
Twitter: @sirrice
Github: sirrice, cudbg
OH: Thurs 12-1PM 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