Ph.D. Candidate · Computer Science · UC Davis
Fangzhou (Fang) Li 李方舟
Structure from noise.
I build end-to-end pipelines that turn messy, unstructured, interdisciplinary data into knowledge graphs and actionable insights, with machine learning, large language models, and agents.
Final-year Ph.D. candidate in computer science at the University of California, Davis, and graduate student researcher at Tagkopoulos Lab and the AI Institute for Next Generation Food Systems, advised by Prof. Ilias Tagkopoulos.
Latest News
- Jul 2026SkillFlow: Scalable and Efficient Agent Skill Retrieval System accepted at the Conference on Language Modeling (COLM) 2026. (Link) (GitHub)
- Jun 2026Started an Applied Scientist internship at Amazon, working with the Amazon AGI’s Knowledge Graphs team, mentored by Amita Misra, Masud Moshtaghi, and Pratyay Banerjee.
- Jun 2026Work accepted at the ICML 2026 Workshop on Deep Learning for Code (DL4C), and presented (poster) at the ACM Conference on AI and Agentic Systems (CAIS) 2026 Workshop on Agent Skills.
- Jun 2026Birds of a Feather: Environmental Insights from a Review of Global Broiler Chicken Production published in Frontiers in Sustainable Food Systems. (Link)
- Mar 2026Invited by the California Council on Science and Technology to demonstrate FoodAtlas and Swap It Smart to California policymakers.
Beyond Research
Training MMA & BJJ since 2021.
Investing Avid stock investor.
Worldview Naturalistic pantheism.
Languages First languages Mandarin & Japanese: 李方舟 · り ほうしゅう.
Watching Conor McGregor in the cage; Bill Burr & Jimmy Carr on stage.
Listening AURORA, Fujii Kaze, XG.
Playing (if time ever permits) Soulsborne, Final Fantasy, Age of Empires, Heroes of Might and Magic, Super Smash Bros.