Rico Bumbaca

  • Assistant Professor
  • MARKETING
Address

KOBL - 418F

Biography

 

Education

PhD, Marketing, University of California - Irvine, Paul Merage School of Business, 2018

MS, Operations Research, 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 Research and Analytics in the undergraduate program, and Data and Decisions in the MBA program

Research

Research Areas of Interest

  • Big data methods in marketing
  • Bayesian hierarchical models
  • 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. Journal of Marketing Research. 2020, Vol. 57(6) 999-1018. doi:10.1177/0022243720952410
    - Lead article
    - CU Boulder Leeds: Kahle Family Faculty Research 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 Research and Analytics in the undergraduate program, and Data and Decisions in the MBA program.

Service

  • Distinguished Speaker Series (DSS) and Marketing Research 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