🧑‍🔬 Jenny Zhang

🏛️ Affiliations

🏢Bristol-Myers SquibbNew York · United States2010–2025 · 8 papers🎓University of British ColumbiaVancouver · Canada2023–2025 · 3 papers🔬Vector InstituteToronto · Canada2023–2025 · 3 papers🎓University of CambridgeCambridge · United Kingdom2023 · 2 papers🎓Donald & Barbara Zucker School of Medicine at Hofstra/NorthwellHempstead · United States2019–2021 · 2 papers🎓Northwestern UniversityEvanston · United States2004–2018 · 2 papers🎓Duke UniversityDurham · United States2014–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents (2025 · 47 citations)
   The paper asks whether an AI system can keep improving itself without human redesign. Schmidhuber's Gödel machine required formal proofs that each self-rewrite helps, which is impractical. The authors propose the Darwin Gödel Machine (DGM), which replaces proof with experiment. It is a coding agent, built on frozen…
2. Quality-Diversity through AI Feedback (2023 · 19 citations)
   Quality-diversity (QD) search maintains a population of solutions that are both good and varied. However, it has rarely been used for creative text because quality and diversity are hard to define in code. The authors propose QDAIF, an evolutionary method in which language models handle all three parts of QD search.…
3. OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (2024 · 15 citations)
   Open-ended learning systems need an unbounded supply of training tasks. Earlier environment generators, including the original OMNI, could only vary parameters inside a hand-designed family of worlds. OMNI-EPIC removes this limit by having foundation models write executable Python code for each new task, covering the…

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Jeff Clune ×3
• Andrew Dai
• Cong Lu
• Hannah Teufel
• Herbie Bradley
• Joel Lehman
• Kenneth Owen Stanley
• Koen Oostermeijer
• Marco Bellagente
• Robert Tjarko Lange
• Shengran Hu

🔗 Cited by

Papers of our library cite their works 67 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated 3 November 2026

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