معرفی
Elea McDonnell Feit is Associate Professor of Marketing and Associate Dean for Research at Drexel University’s LeBow College of Business. She bridges academic research and industry practice, with prior roles at Amazon Ads, General Motors R&D, The Modellers, and Wharton Customer Analytics. Her work focuses on data-driven marketing, experimentation, and Bayesian modeling.
Research Interests: Elea's research centers on improving marketing decisions through rigorous analytics. She specializes in advertising incrementality, causal inference, Bayesian hierarchical models, missing data, data fusion, and conjoint analysis. Her methodological expertise enables robust measurement of advertising effectiveness and consumer choice. She develops accessible tools and frameworks for practitioners through open-source workshops and books.
Publication Trends: Her recent publications (2008–2025) reflect a sustained focus on marketing science, particularly experimentation (A/B testing, test-and-roll), advertising measurement (attribution, multi-channel effectiveness), and advanced statistical modeling (Bayesian, hierarchical, data fusion). She frequently publishes in top journals such as Marketing Science, Journal of Marketing Research, and Management Science.
Scientific Awards:
- Editorial Review Board Service Award (Marketing Science, 2022)
- MSI Scholar (Marketing Science Institute, 2022)
- Top Analytics Educator Award (Digital Analytics Association, 2021)
- Allen Rothwarf Award for Teaching Excellence (Drexel, 2018)
- Data Science Research Award (Adobe, $25,000, 2017)
- Best Software Demo Award (AMA ART Forum, 2017)
- Excellence in Research Award (LeBow, 2016)
- Junior Teaching Award (LeBow, 2016)
- 4 under 40 Award (American Marketing Association, 2013)
Advising and Grants: While formal student advisees are not listed, her leadership in Wharton Customer Analytics and academic collaborations indicate mentorship roles. She has secured significant research support, including a $25,000 Data Science Research Award from Adobe. Her editorial roles in top journals and industry partnerships reflect her influence and funding potential.
Labs and Teams: Elea leads initiatives in marketing analytics education and open-source tools. Her GitHub presence and development of workshops (e.g., on Stan, R, Python) suggest active engagement with data science communities. She contributes to teams advancing Bayesian modeling and experimentation in marketing through editorial and collaborative research roles.
