Welcome to the homepage of
Gui B. Liberali
Full Professor, RSM, Erasmus University
Scientific Researcher, Erasmus Medical Center
|Research Papers, SIs, and Editorials||Recent Grants and Awards||Invited Talks||Academic/Editorial Service, Conference Organizing||Code, Data, User Guides, and Demonstrations||Teaching - Bandits/Reinforcement Learning, Analytics|
Finalist, Best 2013 IJRM paper award
Featured at MSI selections.
Lead article with commentaries.
Finalist, John D. C. Little Award for Best Article published in Marketing Science and Management Science, 2009.
Finalist, ISMS Long-Term Award, 2019, 2018 and 2017, Marketing Science
One of the Top 7% Reviewers of Marketing Science in 2014, Fastest Turnaround (>2 reviews), INFORMS, 2015
Top Talent Researcher, Erasmus School of Economics, 2013 (10,000 Euro award)
High-Performance Researcher of ERIM (Erasmus Research Institute of Management) for eight consecutive years
ERIM Research Grant for research on product category modeling (in 2011)
Marie Curie grant for research on optimization models for IPTV (European Union; 185,000 Euro in 2010)
2010 Finalist, John D.C. Little Best Paper Award, Marketing Science/Management Science
2009 Emerald Group Citation of Excellence, top 50 of 15,000 papers in management journals.
University of Southern California/USC, Stanford, IDC/Israel, Vrije Universiteit Amsterdam, Groeningen, INSEAD, MIT, Australian National University, Eindhoven University, UFRGS/Brazil, FGV/Brazil, University of Iowa
Seminars at non-marketing departments and non-business schools
Department of Cardiology at the Erasmus Medical Center (talk on adaptive trials, 2021), INSEAD (Decision Sciences), University of Amsterdam (Data Science and Operations), Carlos III/Madrid (Business Economics), Erasmus School of Economics
Marketing Camps and Retirement Symposiums
Marketing in Israel (research camp), Frankfurt School of Finance and Management (research camp), Tilburg University (research camp), MIT (Glen Urban Retirement Symposium)
Industry and Government
Trivago (Berlin), Conversion Hotel 2016, eBay Group Netherlands, Booking.com (Amsterdam), European Automotive Summit on Digital Personalization, Digital Data Tips Tuesday Meetup (Amsterdam), Dutch Marketing Online Association
Co-Editor of a Special Issue of IJRM - International Journal of Research in Marketing, on Marketing and Innovation.
Ad-Hoc reviewer for Marketing Science, Journal of Marketing Research and Management Science
Member of the Editorial Review Board (ERB) for IJRM - International Journal of Research in Marketing
Co-Chair of the first joint EMAC-AMA conference (Erasmus University, in 2014).
Scientific Committee of the 2013 Workshop on Distance Geometry and Applications
Co-Founder of Erasmus Center for Marketing and Innovation (ECMI, in 2010)
Coordinator of the Marketing Seminar Series at Erasmus University from 2010 to 2012. These are joint seminars between the marketing departments at the School of Economics and the School of Management.
Reinforcement Machine Learning. This is a PhD-level course on using machine learning methods to model and solve problems relevant to management science. In particular, those problems involving machines that autonomously make decisions on the behalf of the modeler, as in online settings. The course is based mainly on reinforcement learning (when we model states and transitions) and multi-armed bandits (when states are not modeled). Students design, solve, and implement learning methods for sequential decision-making under uncertainty. Sequential decision problems involve a trade-off between exploitation (acting on the information already collected) and exploration (gathering more information). These problems arise in many important domains, ranging from online advertising, clinical trials, website optimization, marketing campaign and revenue management.