Dr. Valerie Ventura

Biography

Valerie Ventura is a tenured professor and the director of the Ph.D. program at the Department of Statistics and Data Science at Carnegie Mellon University. She has a strong educational background with a Ph.D. in Statistics from the University of Oxford, where she was supervised by Anthony Davison and David Hinkley. Additionally, she holds a Master’s degree in Statistics, as well as qualifications in computer engineering and finance, and her undergraduate studies included pure mathematics, physics, and chemistry. Her research primarily focuses on computational neuroscience, with particular emphasis on time series forecasting, networks, algorithms, and nonparametric methods. Ventura also serves as a graduate advisor in the Program for Neural Computation. Her academic contributions and involvement in various facets of statistics and data science reinforce her expertise and leadership in the field.

Research Interests