About Me
Final-year Ph.D. candidate in computer science at the University of California, Davis and graduate student researcher at Tagkopoulos Lab and AI Institute for Next Generation Food Systems, advised by Prof. Ilias Tagkopoulos.
Research
Builds end-to-end pipelines for information retrieval, extraction, and knowledge graph construction. Leverages state-of-the-art AI (machine learning, large language models, and agents) to transform messy, unstructured interdisciplinary data into knowledge bases and actionable insights.
Outside of Research
- Training mixed martial arts (MMA) and Brazilian jiu-jitsu (BJJ) since 2021 (the real reason for studying AI: afford a garage and convert it into a personal MMA gym)
- Avid stock investor
- Recently exploring a naturalistic pantheist worldview
- First language(s): Mandarin and Japanese (hanzi/kanji: 李方舟; hiragana: り ほうしゅう)
- Favorites
- MMA fighter: Conor McGregor
- Comedians: Bill Burr, Jimmy Carr
- Music artists: AURORA, Fujii Kaze, XG
- Games series (if time ever permits): Soulsborne, Final Fantasy, Age of Empires, Heroes of Might and Magic, Super Smash Bros.
Latest News
2026-06: Starting an Applied Scientist internship at Amazon, working with the Amazon AGI’s Knowledge Graphs team.
2026-05: SkillFlow: Scalable and Efficient Agent Skill Retrieval System presented (poster) at the First Workshop on Agent Skills, ACM Conference on AI and Agentic Systems (CAIS) (co-first author). (Link) (GitHub)
2026-03: Invited by the California Council on Science and Technology to demonstrate FoodAtlas and Swap It Smart to California policymakers.
2026-01: A Unified Knowledge Graph Linking Foodomics to Chemical-Disease Networks and Flavor Profiles published in npj Science of Food (first author). (Link) (Website) (GitHub)
2026-01: Agricultural and Environmental Drivers of Variation in the Composition of Food Crops: A Scoping Review published in Plants, People, Planet (with collaborators from the Rockefeller Foundation, American Heart Association, and Periodic Table of Food Initiative). (Link)
Get in Touch
Open to research collaborations and conversations on AI for science (biomedicine, food, agriculture), knowledge graph construction, and agentic AI. Reach out via the links in the sidebar.