Kerby Shedden

Professor of Statistics and Biostatistics, CSCAR Director

Computing Expertise: C, Go, Python, R

Degree: Ph.D. in Statistics, UCLA

Kerby has collaborated with researchers in many areas of natural and social science, with a particular focus on studies involving high dimensional biological data, including genomics, biological imaging, statistical genetics, chemical informatics, health outcomes, and medical claims data. He also has extensive experience in software development, primarily in Python and Go.  His research focuses on computational statistics, and methods for modeling complex dependent data including multilevel, longitudinal, and spatial/temporal data.