ÂÜÀòÂÒÂ×

Paul Bendich is an Associate Research Professor of Mathematics at Duke University and the Associate Director for Undergraduate Research in the Information Initiative at Duke. He received his Ph.D. in Mathematics from Duke in 2008 and held postdoctoral positions at the Institute for Science and Technology Austria and Penn State.

Dr. Bendich’s doctoral work laid some of the early theoretical foundations for topological data analysis (TDA). Since then, he has been at the forefront of the integration of TDA with more standard machine learning and statistical techniques. This work has found wide application in vehicle tracking, brain imaging, and image simplification, among many other areas.

Dr. Bendich oversees all scientific efforts at GDA. Through his affiliation with the Information Initiative at Duke, Dr. Bendich has developed broad and deep expertise across the field of modern data analysis, and he has frequently been the leader of interdisciplinary and vertically integrated teams.