His primary research, teaching and business consulting interests are focused in the area of retail and service marketing,
customer value and relationship management, and marketing models for customer-base analysis and decision support. In his research projects,
Thomas typically works in interdisciplinary teams and employs advanced statistical or machine learning methods to provide decision support
for issues of managerial relevance. Ongoing research projects currently include the study of cross-category purchase effects,
dynamics in evolving customer-firm relationships, models for customer valuation and targeted promotions. Thomas' prior research
has appeared in various marketing and operations research journals.