Dr. Zhiyu Wan is a tenure-track assistant professor, researcher, doctoral supervisor, principal investigator (PI) in the School of Biomedical Engineering of the ShanghaiTech University, and the director of the Health Information Safety and Intelligence Research Laboratory (HISIR Lab).
Dr. Zhiyu Wan graduated from the Special Class for the Gifted Young of Xi’an Jiaotong University with a bachelor’s degree in Automation. In 2020, he received his Ph.D. in Computer Science from the School of Engineering of Vanderbilt University. He later worked as a postdoctoral research fellow in the Department of Biomedical Informatics at the Vanderbilt University Medical Center. His advisor, Dr. Bradley Malin, is a member of the National Academy of Medicine. Dr. Wan Zhiyu participated in a few national scientific research projects in the United States and received international academic awards from multiple venues.
Dr. Zhiyu Wan has published more than 30 high-level research papers in international journals or conferences. Among them. Specifically, he has published a series of papers as the first author in top journals such as Nature Reviews Genetics, Nature Communications, Science Advances, and The American Journal of Human Genetics, which have been highly recognized by international peers. The series of publications have been covered in international scientific media such as the American Association for the Advancement of Science (AAAS), Science Daily, MSN News, Yahoo! News, Tech Xplore, and Medscape.
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Research Interests
Dr. Zhiyu Wan is mainly committed to research works related to both artificial intelligence and data privacy protection.
Privacy Protection of Genomic Data
Using game theory to protect genomic data against privacy attacks.
Security of Electronic Health Records
Optimizing the secure sharing of biomedical information, and analyzing risks of network security.
Ethics of Artificial Intelligence and Large Language Models
Leveraging AI and ML techniques to improve social good, and mining data from social networks.
Health Information Safety and Intelligence Research Lab (HISIR Lab)
HISIR Lab innovates and applies data protection technologies to ensure the security of medical and health data and patient privacy. It efficiently utilizes the latest theories and technologies in machine learning and artificial intelligence to support scientific research in the biomedical field, clinical and engineering applications, and social good. The lab is also dedicated to integrating cutting-edge AI technologies into data security and privacy protection, proposing theories and methods, developing relevant systems, and applying research findings to clinical and engineering applications. In addition, the lab is committed to ensuring the security, privacy, ethics, and fairness of artificial intelligence and large models in medical applications.
Secured Data Sharing for Intelligent Medicine
- Privacy protection in biomedicine
- Secure sharing of biomedical information (electronic medical records, medical images, sounds, genomic data, etc.)
AI for Privacy and Security
- Game theory applied to biomedical and genetic data protection
- Health big data mining in social networks
Ethics of AI Models
- Improving health equity and fairness
- Ethics and biases in artificial intelligence and large language models
- Applications of artificial intelligence and large language models in medicine
Last updated: August 1st, 2024
Zhiyu Wan 