At the FoodAI Research Group, our mission is to develop, apply, and refine AI-driven tools and methodologies to enhance our food systems. We are also dedicated to developing fundamental data infrastructure, enabling data-driven insights and fostering AI applications.
We believe creating responsible AI in food systems is akin to grinding flour on a mill—it requires not only talent but, more importantly, patience and a spirit of craftsmanship.
Have you heard of Food Informatics? ➜️ Read more
About the PI
Dr. ZHANG Dachuan received his Ph.D. in Computational Biology from CAS and completed his postdoctoral training at ETH Zurich. As a data scientist with a deep background in food science, his research focuses on developing data infrastructure and data-driven methods to unveil the complexity of our food systems.
He has published over 60 articles in top journals, including ACS Catal, ACS Sustain Chem Eng, ACS Synth Biol, Bioinformatics, Brief Bioinform, Digit Discov, Food Chem, J Adv Res, J Agric Food Chem, J Hazard Mater, Innovation, PNAS, Sci Adv, Trends Food Sci Technol. Additionally, he serves as Associate Editor of npj Science of Food (Springer Nature) and Nutrition & Metabolism (Springer Nature), an Editorial Board Member of several journals, such as the Journal of Food Science (Wiley).
Team members
Research Staff: WEI Yuming
Phd Students:
LOW Zhi En,
YOW Ryan,
LEE Yi Zhang,
LEOW Zitong, Mabel,
REN Junlong,
ZHAO Caiyun,
ZHANG Jingzhi
Master's Students: LI Lujia (FST), CHEN Siyu (FST), ZHENG Yilei (FST), LIANG Chengwei (AI4S), XUE Ruizhe (AI4S), SHEN Tianyi (AI4S), PENG Ruiyun (AI4S), XIANG Xinhe (AI4S)
Visiting Researchers: YANG Yijin
Explore our AI-driven tools ➜
Read our publications ➜
Explore our recent achievements ➜️
Join us ➜️