个人简历：
Dr. Zhiyu Wan is a tenure-track assistant professor, researcher, doctoral supervisor, principal investigator (PI) in the School of Biomedical Engineering, 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 for three years. His advisor, Dr. Bradley Malin, is a member of the National Academy of Medicine (NAM). 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 is mainly committed to research works related to both artificial intelligence and data privacy protection. His research topics include privacy protection of genomic data, security of electronic health records, ethics of artificial intelligence and large language models, and other issues related to biomedical informatics. His research interests include using game theory to protect genomic data against privacy attacks, optimizing the secure sharing of biomedical information, leveraging artificial intelligence and machine learning techniques to improve social good, mining data from social networks, and analyzing risks of network security.
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 cited many times by papers from top journals such as Nature, Nature Medicine, Science Advances, Nucleic Acids Research, and Nature Communications, and 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.
研究领域：
Game theory
Machine learning and artificial intelligence
Privacy-preserving data sharing
Biomedical informatics
Genomic data privacy
Social media data mining
Natural language processing
Large language models
Network security
教学与课程：
Data Privacy in Biomedicine (TBD)
学术任职：
Editorial Board
Guest Editor of Frontiers in Digital Health
Program Committee Member for Conferences
International Conference of Artificial Intelligence in Medicine (AIME) 2024
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021-2024
American Medical Informatics Association Clinical Informatics Conference (AMIA-CIC) 2023
Workshop on Artificial Intelligence for Social Good (AI4SG) 2021
International Conference on Tools with Artificial Intelligence (ICTAI) 2020-2024
Invited Reviewers for Journals and Conferences
ACM Transactions on Privacy and Security (TOPS)
Applied Mathematical Modelling
Bioinformatics
BMC Medical Informatics and Decision Making
BMC Medical Research Methodology
Frontiers in Public Health
Heliyon
IEEE/ACM Transactions on Computational Biology and Bioinformatics
IEEE Transactions on Dependable and Secure Computing
Journal of the American Medical Informatics Association (JAMIA)
JMIR Medical Informatics
Journal of Universal Computer Science (J.UCS)
Public Library of Science (PLoS) ONE
MDM Policy & Practice
Methods of Information in Medicine
Nature Biotechnology
Transactions on Data Privacy
AAAI conference on Artificial Intelligence (AAAI) 2016-2019
IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) 2019
The American Medical Informatics Association Annual Symposium (AMIA) 2017-2024
IEEE International Conference on Big Data (BigData) 2015-2016
ACM Conference on Data and Application Security and Privacy (CODASPY) 2019-2022
International Symposium on Cyber Security, Cryptology, and Machine Learning (CSCML) 2023
Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec) 2020
International Workshop on Data Privacy Management (DPM) 2022
European Conference On Computational Biology (ECCB) 2023
IEEE International Symposium on High Assurance Systems Engineering (HASE) 2015
IEEE International Conference on Data Mining (ICDM) 2017-2019
International Conference on Learning Representations (ICLR) 2022
IEEE International Conference on Machine Learning (ICML) 2021
International Joint Conference on Artificial Intelligence (IJCAI) 2019
Conference on Intelligent Systems For Molecular Biology (ISMB) 2023
Conference on Neural Information Processing Systems (NeurIPS) 2021
Pacific Symposium on Biocomputing (PSB) 2021
Privacy in Statistical Databases (PSD) 2020-2024
International Conference on Transdisciplinary AI (TransAI) 2020
Membership
Association for Computing Machinery (ACM)
Institute of Electrical and Electronics Engineers (IEEE)
American Medical Informatics Association (AMIA)
American Society of Human Genetics (ASHG)
European Society of Human Genetics (ESHG)
Association for the Advancement of Artificial Intelligence (AAAI)
Institute for Operations Research and the Management Sciences (INFORMS)
代表性论文：
(*co-first authors，# corresponding authors)
Abinitha Gourabathina*, Zhiyu Wan*#, J. Thomas Brown, Chao Yan, Bradley A. Malin#. PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model. IEEE Transactions on NanoBioscience, 22(4): 808–817 (Oct 2023).
Chao Yan*, Yao Yan*, Zhiyu Wan*, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney#, and Bradley A. Malin#. A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. Nature Communications, 13(1): 7609 (Dec 2022).
Zhiyu Wan*, James W. Hazel*, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley A. Malin. Sociotechnical safeguards for genomic data privacy. Nature Reviews Genetics, 23(7): 429–445 (July 2022).
Zhiyu Wan#, Yevgeniy Vorobeychik, Weiyi Xia, Yongtai Liu, Myrna Wooders, Jia Guo, Zhijun Yin, Ellen Wright Clayton, Murat Kantarcioglu, and Bradley A. Malin. Using game theory to thwart multistage privacy intrusions when sharing data. Science Advances, 7(50): eabe9986 (Dec 2021).
Zhiyu Wan#, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Wright Clayton, Murat Kantarcioglu, and Bradley A. Malin#. Expanding access to large-scale genomic data while promoting privacy: A game theoretic approach. The American Journal of Human Genetics, 100(2): 316–322 (Jan 2017).
More
https://scholar.google.com/citations?user=BxiGxj4AAAAJ&hl=en
实验室介绍：
Health Information Safety and Intelligence Research 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, all while safeguarding patient privacy. 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.
Key research directions of the lab include:
Privacy protection in biomedicine
Secure sharing of biomedical information (electronic medical records, medical images, sounds, genomic data, etc.)
Game theory applied to biomedical and genetic data protection
Health big data mining in social networks
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
