Christopher Genovese

I am a professor and chair of the Department of Statistics at Carnegie Mellon University. After earning a Ph.D. in statistics at the University of California, Berkeley, in 1994, I came to Carnegie Mellon. My research focuses on high-dimensional and nonparametric inference problems, especially related to complex scientific questions. My applied work covers a range of scientific areas, including cosmology, neuroscience, and evolutionary biology. I am leading a project to develop a system for inferring students learning state (at a skill-by-skill level) from rich on-line learning data. A more recent project with researchers at Magee-Womens Hospital will develop novel methods for predicting placental and fetal health from trace signals measured during pregnancy.