Responding to your facial features, First Person Plural creates a real-time data-driven portrait using predictive algorithms and two data sets comprised of over ten thousand faces.

Using the same machine learning framework as leading medical research and individualized health initiatives, First Person Plural invites the viewer to consider how genomic data collection affects our sense of identity.

Presented at the Rochester Art Center, this installation was commissioned for Genome: Unlocking Life’s Code, an exhibit produced by the Smithsonian Museum of Natural History and the National Institutes of Health’s National Human Genome Research Institute, and brought to Rochester by the Mayo Clinic Center for Individualized Medicine.