Eugene Wu is an Associate Professor of Computer Science at Columbia University. He received a Ph.D. in EECS from MIT, and B.S. from UC Berkeley. He is broadly interested in technologies for human data interaction, and how users can effectively and quickly make sense of their data. Eugene is interested in solutions that ultimately improve the interface between users and data. He combines ideas from database management, visualization, and HCI. Eugene has received the VLDB 2018 test-of-time award, the coveted CIDR gong show award, NSF CAREER, and the Google and Amazon faculty awards.