Summary
Zhaoyan Ming is an Associate Professor and applied AI researcher with 13 years of experience building prototype systems that turn information retrieval and NLP research into practical tools. He has led and shipped research-driven products across academia and industry—from a photo-based food recognition and lifestyle assistant at NUS to exploratory search, auto-FAQ and topic-trend visualization demos that organize multi-source user content. As a team lead, translational scientist and former CEO, he bridges research, product and clinical collaborations, including building a global food image dataset and standards for ~1,000 food classes. His work focuses on information retrieval, question answering, text mining and NLP, combining deep technical skills with a strong record of deploying interactive, evaluative search and QA systems. Based in Hangzhou with a PhD from NUS and roots at Zhejiang University, he blends rigorous academic training with hands-on productization of AI research.
13 years of coding experience
8 years of employment as a software developer
B.Eng, Information Science & Electronic, B.Eng, Information Science & Electronic at Zhejiang University
Ph.D, Computer Science, Ph.D, Computer Science at National University of Singapore
English, Chinese