RicoÌýBumbaca
- Assistant Professor
- MARKETING

Biography
Education
PhD, Marketing, University of California - Irvine, Paul Merage School of Business, 2018
MS, Operations 91ÃÛÌÒ¸ó, Industrial Engineerings, Virginia Polytechnic Institute
MBA, Management, Massachusetts Institute of Technology, Sloan School of Management
MS; BS, Electrical Engineering, Engineering Science, University of Toronto
Federico (Rico) Bumbaca is an Assistant Professor of Marketing at the Leeds School of Business. Rico has extensive marketing, business development and sales industry experience, both domestically and internationally, working with technology start-ups in the San Francisco Bay area. Rico teaches Marketing 91ÃÛÌÒ¸ó and Analytics in the undergraduate program, and Data and Decisions in the MBA program.
91ÃÛÌÒ¸ó
91ÃÛÌÒ¸ó Areas of Interest
- Big data methods in marketing
- Bayesian hierarchical 91ÃÛÌÒ¸ó
- Target marketing
- Loyalty programs
- Distributed Markov chain Monte Carlo methods
Selected Publications
- Bumbaca F (Rico), Misra S, Rossi PE. Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models.ÌýJournal of Marketing 91ÃÛÌÒ¸ó. 2020, Vol. 57(6) 999-1018. doi:
- Lead article
- CU 91ÃÛÌÒ¸ó Leeds: Kahle Family Faculty 91ÃÛÌÒ¸ó Excellence Award, 2021
Working Papers
- Bumbaca, Federico (Rico). Identifying High-Value Customer Microsegments at Scale (SSRN)
- Bumbaca, Federico (Rico). Scalable Inference: A Subsampling Approach
- Shriver, Scott, Toubia, Olivier, Bumbaca, Federico (Rico). Commitment Devices: Demand Estimation and Optimal Pricing
- Bumbaca, Federico (Rico). Scalable Nonparametric Density Estimation
- Bumbaca, Federico (Rico). Scalable Supervised Machine Learning for Target Marketing
Teaching
Rico teaches Marketing 91ÃÛÌÒ¸ó and Analytics in the undergraduate program, and Data and Decisions in the MBA program.
Service
- Distinguished Speaker Series (DSS) and Marketing 91ÃÛÌÒ¸ó Seminar Series (MRSS), 2019–2022
- Mentor, New Teacher Teaching Mentors Program, 2019–2022
- Mentor, Diverse Scholars Faculty Mentoring Program, 2018–2022
- New Assistant Professor Program, Faculty Teaching Excellence Program, 2018–2020





