She teaches undergraduate courses including Medical Data Analysis and Mining, Intelligent Analysis of Medical Data and Database Principles. She has presided over and participated in more than ten research projects, such as the Special Project for Modernization of Traditional Chinese Medicine under the National Key R&D Program, Key Projects of Sichuan Provincial Department of Education, and Projects of Chengdu Federation of Social Sciences. Her research directions include machine learning-based predictive models for TCM syndrome differentiation, blockchain privacy protection for electronic medical records, and data mining of TCM prescriptions. She has published numerous papers in academic journals, promoting the practical application and transformation of intelligent algorithms in TCM clinical practice and TCM research achievements.

Core Research Directions

1. Digitalization of TCM and construction of AI intelligent TCM syndrome differentiation models
2. Medical big data mining and data mining of TCM prescriptions
3. Medical blockchain, health and medical data security, and information standards
4. R&D of smart medical systems and home health cloud platforms

Representative Research Projects (Principal Investigator / Core Researcher)

1. National Key R&D Program Special Project for Modernization of Traditional Chinese Medicine: Research on the Construction and Demonstration Application of Cloud Platform for Monitoring and Services via Portable Devices
2. Key Project of Sichuan Provincial Department of Education: Dynamic Management and Application of Electronic Medical Records Based on Blockchain Technology
3. Xinglin Scholar Talent Special Project: Construction of Predictive Model for TCM Treatment Based on Supervised Learning for Diabetes Mellitus
4. Project of Chengdu Federation of Social Sciences: Research on the Potential Impact of Blockchain Technology for Electronic Medical Records on Doctor-Patient Disputes