Sebastian Kurtek

Sebastian Kurtek is a Professor of Statistics at The Ohio State University, affiliated with the College of Arts and Sciences. He holds roles in the Interdisciplinary PhD Program in Biostatistics and Translational Data Analytics. His research focuses on statistical shape analysis, functional data analysis, and Bayesian statistics, addressing challenges in medical imaging, computer vision, and biometrics.

Education:

• PhD in Biostatistics, Florida State University (2012)
• M.S. in Biostatistics, Florida State University (2009)
• B.S. in Mathematics, Tulane University (2007)

Research Interests:

• Development of statistical models for complex functional data, including shapes and images
• Applications in medical imaging, biology, and computer vision
• Computational tools for Riemannian manifold analysis

Publications & Trends: Recent work emphasizes geometric frameworks for analyzing eye tracking heat maps, radiogenomics in tumors, and Bayesian approaches for functional data registration. His articles highlight interdisciplinary applications, combining statistics with fields like computer vision and medical imaging.

Awards:

• Best Paper Awards in computer vision, pattern recognition, and medical imaging
• NSF funding (multiple grants since 2016)
• IMS and AMS Travel Awards

Grants & Collaborations:

• NSF DMS-1613054 (2016-2020)
• NIH R37-CA214955 (2017-2024)
• Collaborations on endometrial tissue modeling and fossil classification

Labs/Teams: Involved in CBMS Conference on Elastic Functional and Shape Data Analysis (EFSDA), advancing methodologies for shape and functional data analysis.