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This series investigates how omnipresent machine learning algorithms see our faces under the hood. I generate elemental ghostly faces known as eigen faces which capture the mathematical essence of multidimensional training data. When layered together they create a new face, or they can be used to identify a specific person. A subset of my body of work is shown here, beginning with digital black and white machine-learned examples and followed by colorful physical artworks where the digital elements are combined using various experimental layering techniques along with paint, mixed media and found objects. Most of the works shown here are generated from 10 years of my own face selfies and family photos. These portraits peer inward at our essence from a machine's point of view, yet also reflect the wider context we all live in today with this omnipresent face technology. Please inquire for more information.

A Window Into The Soul
Family and Friends Reimagined

Following on from a Window In, these 3 dimensional physical portraits change as you move around and peer through multiple machine learned layers. Like Mother Like Daughter - meet an amalgam piece my Mother and Me, and meet my good friend Professor Albert Kim.

Deep Learned Layers

Machine Learned Images Transformed into a New Physicality

Painting With Math
Future Excavations

Hybrid collages of eigenface layers embedded in plastic shards. What will be excavated in 100,000 years?