Yufeng Zhang holds a PhD in Pharmacy from the Institute of Pharmaceutical Informatics at Zhejiang University, specialising in pharmaceutical analysis (LC-MS/MS) and chemometrics. A versatile developer, he is proficient in multiple programming languages, including Python, C++, and R. He has developed several impactful platforms, including a drug registration assistant with an annual turnover exceeding 3 million HKD. His pharmacokinetic research, utilising NONMEM and Phoenix for modelling, is published in prestigious journals such as the *Journal of Controlled Release*. Furthermore, Yufeng integrates deep learning and natural language processing to automate herb-drug interaction databases, significantly reducing manual data extraction. With unique dual expertise in pharmacy and computer science, he is ideally positioned to lead the database development and technical coordination for this project.