Chris Genovese

Chris Genovese serves as Professor and Chair of the Department of Statistics at Carnegie Mellon University within the Dietrich College of Humanities and Social Sciences. He earned his Ph.D. in statistics from the University of California, Berkeley in 1994 and has remained at Carnegie Mellon since then, rising to leadership of the department.

His research program spans theoretical and applied statistics with emphasis on complex scientific problems:

• High-dimensional statistical methods
• Nonparametric inference techniques
• Graphical models and network analysis
• Computational neuroscience applications
• Cosmology and astronomical data analysis

Genovese maintains active interdisciplinary collaborations across neuroscience, cosmology, astronomy, and evolutionary biology. His theoretical work focuses on confidence sets for nonparametric inference, adaptive function estimation, spatial statistics, inverse problems, and multiple testing procedures.

Current projects include developing systems for inferring student learning states from online educational data and creating novel methods for predicting placental and fetal health in collaboration with Magee-Womens Hospital researchers. His research demonstrates the power of statistical methods to address challenging problems across diverse scientific domains.