NUS AI Sleep-Promoting Plants Study | Singapore Research
NUS researchers use AI to identify top sleep-promoting volatiles in 991 aromatic plants, validating 80% hit rate. Discover lavender, perilla, basil potentials.
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Dachuan Zhang is an Assistant Professor in the Department of Food Science & Technology at the National University of Singapore (NUS), where he leads the Food Informatics and Artificial Intelligence (FoodAI) group. He joined NUS in 2025. Prior to this appointment, he served as a Postdoctoral Researcher in Artificial Intelligence at ETH Zürich and as a Doctoral Researcher at the Chinese Academy of Sciences.
Zhang is a data scientist with a background in food science. His research focuses on developing data infrastructure and data-driven methods for applications in food science, including AI in food systems, food informatics, and related areas such as mycotoxin elimination and food risk assessment. He has authored or co-authored publications including “Elimination of Fusarium mycotoxin deoxynivalenol (DON) via microbial and enzymatic strategies: Current status and future perspectives” (Trends in Food Science & Technology, 2022), “FRCD: A comprehensive food risk component database with molecular scaffold, chemical diversity, toxicity, and biodegradability analysis” (Food Chemistry, 2021), and several others on topics like 3D-QSAR models, food adulteration databases, and computational platforms for toxin biotransformation and enzymatic functions. His work has received recognition including the Grantham Foundation Detox Award (2026), the IUFoST Young Scientist Award (2024), the ACS Irving S. Sigal Global Mobility Award (2024), the President’s Scholarship from the Chinese Academy of Sciences (2021), and the CAS Yaliam Scholarship for Excellence (2020). Zhang serves in editorial roles as Associate Editor for journals including Nutrition & Metabolism and npj Science of Food, and as Editorial Board Member or Guest Editor for several others such as Chemical Engineering Journal and Future Foods.
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NUS researchers use AI to identify top sleep-promoting volatiles in 991 aromatic plants, validating 80% hit rate. Discover lavender, perilla, basil potentials.
Discover how NUS FoodAI Group's new guide advances responsible AI in food science, tackling datasets, algorithms, and applications for Singapore's food security.