Federico Bumbaca

Federico Bumbaca serves as an Assistant Professor of Marketing at the Leeds School of Business, University of Colorado Boulder. His academic journey spans engineering, operations research, and business disciplines.

Education Highlights:

• PhD in Marketing - Paul Merage School of Business, University of California Irvine
• MBA - Sloan School of Management, Massachusetts Institute of Technology
• MS in Operations Research - Virginia Tech
• MS & BS in Electrical Engineering - University of Toronto

Bumbaca's research pioneers big data methodologies in marketing, specializing in Bayesian hierarchical models and distributed computing techniques for target marketing optimization. His work bridges complex statistical modeling with practical marketing applications, particularly in loyalty programs and customer segmentation. The evolution from his early computer vision research to contemporary marketing analytics demonstrates interdisciplinary expertise.

His publication portfolio reveals a distinct transition from 1980s engineering research (laser rangefinders, color vision systems) to modern marketing analytics, with recent focus on scalable algorithms for Bayesian modeling. This trajectory reflects his unique ability to apply computational rigor to marketing challenges.

Bumbaca teaches Marketing Research and Analytics in undergraduate programs and Data and Decisions in MBA courses, leveraging his industry experience from technology startups in the San Francisco Bay Area where he developed expertise in marketing, business development, and sales.