Zhiyu Wan, PhD, is a postdoctoral research fellow in the Department of Biomedical Informatics, Vanderbilt University Medical Center.  He is mentored by Dr. Bradley A. Malin, and is currently working in the Health Information Privacy Laboratory (HIPLAB), and the Center for Genetic Privacy and Identity in Community Settings (GetPreCiSe).

“The goal of the HIPLAB is to improve the protection of patients’ privacy in health information systems.” said Dr. Bradley A. Malin. As part of the eMERGE network, HIPLAB is working to design de-identification methodologies that mitigate re-identification threats while maximizing the utility of the data shared for research purposes.

He finished his PhD in Computer Science at the Department of Electrical Engineering and Computer Science, School of EngineeringVanderbilt University. He obtained his bachelor’s degree in Automation (minor in Business Administration), as an outstanding graduate, from Xi’an Jiaotong University, which he entered through the Special Class for the Gifted Young of China.

His research interests include: optimizing privacy-preserving data sharing, with an emphasis on health and genomic data; leveraging game theory, artificial intelligence, and machine learning techniques to improve social good; and analyzing social networks and network security. His latest research project is using game theory to protect genomic data against privacy attacks.

CV

E-mail address: zhiyu.wan AT vanderbilt.edu (zhiyu.wan.1 AT vumc.org)

Office address: 2525 West End Avenue, Suite 1422-1, Nashville, TN, 37203

github-logo

 

Last Updated: July 15, 2024