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Portrait of Trevor Chan

Graduate student researcher

Trevor Chan

Graduate Student Researcher

11AIFS projects→
22AIFS publications→

1 projects

Project involvement

Year 2

Pilot Database for Milk Molecular Composition

AIFS is collaborating with UC Davis to comprehensively analyze the composition of milk using various 'omics analyses, aiming to create a database that connects molecular information with research-derived data on nutritional and health benefits, facilitating a deeper understanding of the health effects of milk molecules through machine learning-derived insights.

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#Nutrition

2 publications

AIFS publications

  • Journal Article · PLOS Digital Health · 2026

    Translating Dietary Standards Into Healthy Meals with Few-ingredient Substitutions

    Chan, Trevor and Ilias Tagkopoulos

    Paper page for Translating dietary standards into healthy meals with few-ingredient substitutions↗DOI 10.1371/journal.pdig.0001367
  • FeaturedJournal Article · npj Science of Food · 2026

    A Unified Knowledge Graph Linking Foodomics to Chemical-disease Networks and Flavor Profiles

    Li, Fangzhou, Jason Youn, Kaichi Xie, Trevor Chan, Pranav Gupta, Arielle Yoo, Michael Gunning, Keer Ni, and Ilias Tagkopoulos

    Paper page for A unified knowledge graph linking foodomics to chemical-disease networks and flavor profiles↗DOI 10.1038/s41538-025-00680-9
←Back to the team

AIFS, UC Davis
1 Shields Ave
PDSB 1033
Davis, CA 95616
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AI Institute for Next Generation Food Systems (AIFS) is supported by the United States Department of Agriculture – National Institute of Food and Agriculture and award #2020-67021-32855 in collaboration with the National Science Foundation. AIFS manages the AI Institutes Virtual Organization (AIVO) under grants 2231251, and 2332864, 2437003, and 2528968 from the National Science Foundation, as well as a Google.org grant.

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aifs@ucdavis.edu

530-760-9739

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