Scholar
Cong Lu
Google Scholar ID: yMGBji4AAAAJ
Google DeepMind
Citations & Impact
Citations
1,508
H-index
16
i10-index
17
Publications
20
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- Launched Genie 3, recognized as one of TIME's 100 Best Inventions of 2025; developed The AI Scientist, the first agent to automate the entire scientific process, and published the first fully AI-written paper to pass peer review at an ICLR workshop; work featured in the State of AI Report for two consecutive years and covered by multiple media outlets; gave a keynote talk on knowledge-grounded autonomous scientific research at the AI4Research Workshop at AAAI 2025; two papers accepted to ICLR 2025; presented latest research findings at NeurIPS 2024.
Research Experience
- Served as a Research Scientist at Google DeepMind; previously a postdoctoral research and teaching fellow at the University of British Columbia and Vector Institute; involved in projects like Genie 3 and The AI Scientist.
Education
- PhD: University of Oxford, supervised by Prof. Michael A. Osborne and Prof. Yee Whye Teh. Postdoctoral research and teaching fellow: University of British Columbia and Vector Institute, supervised by Prof. Jeff Clune.
Background
- Research interests: Developing autonomous agents that are safe, curious, and capable of open-ended learning, especially with recent advances in foundation models and deep reinforcement learning. Profile: Research Scientist on the Open-Endedness team at Google DeepMind.
Miscellany
- Interviewed on CBC's Quirks & Quarks about how AI is transforming science and on ML Street Talk about the prospects of Self-Improving AI.
