Eugene Wu

Eugene Wu is an Associate Professor of Computer Science at Columbia University, affiliated with the Data Science Institute and co-chair of the Center for Data, Media, and Society. His research focuses on interactive data systems, visualization, and human-data interaction. Wu holds a Ph.D. from MIT and B.S. from UC Berkeley, with postdoctoral experience at AMPLab.

Education:

• Ph.D., Computer Science, MIT
• B.S., Computer Science, University of California, Berkeley
• Postdoc, AMPLab

Research Interests: Eugene's work bridges data systems, visualization, and human-computer interaction. Key areas include:
- Interactive data interfaces and visualization tools
- Large Language Models (LLMs) for document processing and prompt development
- Lineage tracking and explainable systems
- Privacy-aware query processing and scalable analytics.
His recent projects address task-based dataset search, complaint-driven debugging, and systems for LLM agents.

Recent Articles Trends: Publications emphasize LLM integration (e.g., Prompt Editor, Cocoon), scalable systems (FaDE, ConnectorX), and foundational contributions to lineage and visualization (Smoke, Physical Visualization Design).

Awards:

• NSF CAREER Award
• VLDB 10-Year Test of Time Award (2018)
• SIGMOD Best Demo Award (2016, 2025)
• Amazon Research Award

Advising & Grants: Advises Ph.D./postdoc students on database and ML systems. Leads NSF-funded projects on entity matching and interactive debugging. Co-organizes SIGMOD panels and workshops on database research directions.

Labs & Teams: Leads the WuLab research group and collaborates with industry partners like Celonis and Adobe. Active in the Data Science Institute and Center for Data, Media, and Society.