Dan Scantlebury

CampaignTech Innovation Summit / Dan Scantlebury

Dan Scantlebury

Director of Data Science, Resonate

ABOUT

Dan Scantlebury is Director of Data Science at Resonate, where he develops machine learning models for targeting, analytics and attribution. As a part of his work, Dan has developed counter-recommendation systems to penetrate media bubbles, as well as custom segmentation projects and analysis. Dan has been instrumental in helping Resonate leverage artificial intelligence and deep learning to uncover 9 previously unknown – but targetable – voter segments differing predictably along the most influential political drivers such as shared priorities, values, motivations, policy positions, party affiliation and voting history.  Dan holds a BS from the University of Texas at Austin as well as an MS and PhD from the University of Rochester, where he completed extensive work in the fields of Ecology and Evolution.