Zhiyu Wan

by Paul Govern Information based biomedical discovery, in particular the push toward precision medicine, depends on open-ended analysis of de-identified data from patients and research participants on the largest possible scale. Sharing data while controlling the risk of data reidentification under privacy attack is vital to the enterprise. Zhiyu Wan Game theory indicates that only... Read More

It comes down to privacy — biomedical research can’t proceed without human genomic data sharing, and genomic data sharing can’t proceed without some reasonable level of assurance that de-identified data from patients and other research participants will stay de-identified after they’re released for research. Read More

A two-member team from Vanderbilt has won the 2016 iDASH Healthcare Privacy Protection Challenge, a competition open to international participants and devoted this year to privacy protection for genome analysis in a cloud computing environment. Read More