My research focuses on functional data analysis, statistical shape analysis and statistics on manifolds. In particular, I am interested in the use of Riemannian geometry to develop statistical methods for complex, non-Euclidean data. My research is often collaborative in nature and motivated by applied problems in medicine, biometrics, biology, graphics and computer vision.

Sebastian Kurtek is an Associate Professor of Statistics at The Ohio State University and currently serves as an Associate Director of MBI.  He is a faculty affiliate of the Translational Data Analytics Institute at Ohio State and a member of the Topology, Geometry and Data Analysis TRIPODS group. He is also a Senior Member of the IEEE. His research has been funded by the NIH and NSF, and has been recognized through numerous awards.