Invited Talks

• Zhiyu Wan. Harnessing AI Agents for Ethical and Responsive Real World Data Sharing in Medicine. AI for Reliable and Equitable Real-world Evidence Generation in Medicine Workshop (in Conjunction with AIME2024) Rising Star Presentation on AI in Medicine. Salt Lake City, UT, USA (July 9, 2024).
• Zhiyu Wan. Strategic Privacy-Preserving Sharing of High Dimensional Biomedical Data Enabled by Artificial Intelligence. UTHealth School of Biomedical Informatics (SBMI) Spring 2023 Research Seminar. Virtual (February 1, 2023). [Link]
• Zhiyu Wan. Game Theory For Shielding Personal Data Against Privacy Attacks On Anonymity. 2022 INFORMS Annual Meeting. Indianapolis, IN, USA (October 16, 2022). [Link]

Symposiums / Workshops / Abstracts

• Zhiyu Wan, Yuhang Guo, Shunxing Bao, Qian Wang and Bradley Malin. Evaluating Sex and Age Biases in ChatGPT-4 and LLaVA-1.6 for Skin Disease Identification Tasks Using Real-World Data. 2024 International Workshop on AI Applications in Public Health and Social Services (AI-PHSS 2024) (in Conjunction with AIME2024). Salt Lake City, UT, USA (July 12, 2024).
• Chao Yan, Yao Yan, Ziqi Zhang, Zhiyu Wan, Justin Guinney, Sean Mooney, and Bradley Malin. Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking. 2022 American Medical Informatics Association Annual Fall Symposium (AMIA), Washington, DC, USA (Nov 2022).
• Zhiyu Wan. A Game Theoretic Model for Sharing Biomedical Data While Preventing Multistage Privacy Intrusions. 16th Annual Vanderbilt Postdoctoral Association Symposium. Vanderbilt University, Nashville, TN, USA (October 27, 2022). [Link] [booklet]
• Zhiyu Wan. Game Theory for Genomic Data Privacy. 2nd event of the “Speak Easy” – A Postdoc Talk Series. Vanderbilt University, Nashville, TN, USA (July 21, 2022).
• Zhiyu Wan. Game Theory Can Expand Access to Genomic Data While Promoting Privacy. AAAI 2017 Spring Symposium on AI for Social Good. Stanford University, Stanford, CA, USA (March 28, 2017). [Link]
• Zhiyu Wan. Practical Protection of Genomic Data Sharing Through Beacon Services. iDASH Privacy and Security Workshop, co-located with AMIA 2016 Annual Symposium. Chicago, IL, USA (November 11, 2016). [Link]

Posters

• Yuhang Guo, Zhiyu Wan. Performance Evaluation of Multimodal Large Language Models (LLaVA and GPT-4-based ChatGPT) in Medical Image Classification Tasks. 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). Orlando, FL, USA (June 4, 2024).
• Zhiyu Wan. Privacy-preserving collection and sharing of unbiased human voice data for automatic assessment of voice disorders. 17th Annual Vanderbilt Postdoctoral Association Symposium. Vanderbilt University, Nashville, TN, USA (November 17, 2023). [Link] [booklet]
• Zhiyu Wan. Privacy-preserving collection and sharing of unbiased human voice data for automatic assessment of voice disorders. Inaugural Bridge2AI Voice Symposium. Washington, DC, USA (April 19, 2023). [poster] [Best Poster Awards]
• Weiyi Xia, Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantacioglu, Ellen W. Clayton, and Bradley A. Malin. A Scalable Tool for Realistic Health Data Re-identification Risk Assessment. 2022 American Medical Informatics Association Annual Fall Symposium (AMIA), Washington, DC, USA (Nov 2022). [pic]
• Zhiyu Wan, Yike Li, Bradley Malin. Privacy-preserving collection and sharing of unbiased human voice data for automatic assessment of voice disorders and respiratory diseases: A pilot study. Informatic Con 22. Nashville, TN, USA (September 28, 2022). [poster]
• Zhiyu Wan. A Game Theoretic Model for Privacy-Preserving Genomic Data Sharing. 9th Annual Oak Ridge Postdoctoral Association Research Symposium. Virtual (July 29, 2021). [Link] [booklet] [poster] [slides] [video]

*: Expected.