个人简历：
万之瑜博士任生物医学工程学院常任轨助理教授（Tenure-track Assistant Professor）、研究员、博士生导师、独立课题组组长（Principal Investigator, PI）和健康信息安全与智能研究实验室（Health Information Safety and Intelligence Research Lab – HISIR Lab）主任。
万之瑜博士本科毕业于西安交通大学少年班获得自动化专业学士学位，2020年获得美国范德堡大学（Vanderbilt University）工程学院计算机科学专业博士学位，后于范德堡大学医学中心（Vanderbilt University Medical Center）生物医学信息学系（Department of Biomedical Informatics）从事了三年博士后研究工作。他的导师为美国国家医学院(NAM) 院士Bradley Malin博士。万之瑜博士在美国参与了多个国家级科研项目、获得了多个机构授予的国际学术奖项。回国后他入选了上海市海外高层次人才计划。
万之瑜博士主要致力于人工智能与数据隐私保护的相关研究。他的研究课题包括：基因数据的隐私保护、电子病历的数据安全、人工智能与大语言模型的伦理学等与生物医学信息学相关的课题。他的研究兴趣包括：使用博弈论来保护基因数据免受隐私攻击、最优化生物医学信息的安全分享、利用人工智能及机器学习技术促进社会公益、挖掘社交网络数据及分析网络安全风险。
万之瑜博士至今已在国际权威期刊或会议发表高水平研究论文30余篇，其中以第一作者身份在Nature Reviews Genetics、Nature Communications、Science Advances、American Journal of Human Genetics等顶级期刊发表一系列的论文，得到了国内外同行的高度认可。系列成果被Nature、Nature Medicine、Science Advances、Nucleic Acids Research、Nature Communications 等顶级期刊的文章多次引用，受到美国科学促进会（AAAS）、Science Daily、MSN News、Yahoo! News、Tech Xplore、Medscape等国际科学媒体的评论报道。
研究领域：
博弈论
机器学习与人工智能
保护隐私的数据分享
生物医学信息学
基因数据隐私
社交网络数据挖掘
自然语言处理
大语言模型
网络安全
教学与课程：
生物医学中的数据隐私（拟）
学术任职：
编辑
Guest Editor of Frontiers in Digital Health
会议评审委员会成员
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
期刊会议审稿人
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
会员
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：
(*共同第一作者，#通讯作者)
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).
更多论文链接
https://scholar.google.com/citations?user=BxiGxj4AAAAJ&hl=en
实验室介绍：
健康信息安全与智能研究实验室（Health Information Safety and Intelligence Research Lab – HISIR Lab）通过创新及应用数据保护技术，在保障医疗健康数据安全和病人隐私的前提下，更高效地使用机器学习、人工智能领域的最新理论和技术来帮助生物医学领域的科学研究、临床及工程应用及社会公益。该实验室致力于将人工智能领域的前沿技术应用于数据安全及隐私保护中、提出理论及方法、开发相关系统，并将研究成果拓展到临床及工程应用中。此外，该实验室致力于保障人工智能与大模型的在医学应用中的安全隐私及伦理公平性。
实验室主要研究方向：
生物医学中的数据隐私保护
生物医学信息（电子病历、医学图像、声音、基因数据等）的安全分享
博弈论与生物医学及基因数据保护
社交网络中的健康大数据挖掘
改善卫生公平性
人工智能与大语言模型中的伦理学及偏见
人工智能与大模型在医学中的应用
