Daniel Minh McCarthy
 | Daniel M. McCarthy |
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About
I am an Associate Professor of Marketing at the University of Maryland's Robert H. Smith School of Business, after having served as an Assistant Professor of Marketing at Emory University’s Goizueta School of Business. I am a marketing scientist and a methodologist. My research specialty is the application of leading-edge statistical methodology to contemporary empirical marketing problems.
My research interests include data fusion, limited/missing data problems, machine learning, and causal inference. My research has been accepted and published in top-tier academic journals such as the Journal of Marketing Research, Marketing Science, Journal of Marketing,
the Journal of the American Statistical Association: Theory and Methods, Statistica Sinica, and the Annals of Applied Statistics. It has also been featured in media outlets such as the Harvard Business Review, Wall Street Journal, FT, Fortune, The Economist, Inc, USA Today,
Barron's, CBS, CNBC, Slate, Business Insider, and CFO Magazine.
Ph.D., Statistics, Wharton School of Business, University of Pennsylvania, 2017
B.S., Economics Summa cum Laude in Statistics and Finance, Wharton School of Business, University of Pennsylvania, 2006
B.A.S., Summa cum Laude in Systems Science Engineering, University of Pennsylvania, 2006
One of my research specialties is customer-based corporate valuation, valuing contractual and non-contractual companies from the "bottoms up" by valuing their customers. I won the Don Lehmann Award, Robert J. Lavidge, MSI Alden G. Clayton, ISMS, and Shankar-Spiegel Dissertation Proposal Competitions,
won the Gary Lilien ISMS-MSI-EMAC Practice Prize, and was a finalist for the Paul Green, John A. Howard/AMA, JM Hunt/Maynard, and MSI H. Paul Root Awards for this work. I am also grateful to Adobe Corporation for $50,000 in research support for it. Some of the insights created through
this research were commercialized through a company I co-founded, Zodiac, where I was the Chief Statistician. Zodiac was acquired by Nike in March 2018. I subsequently co-founded Theta Equity Partners to make CBCV more easily accessible to firms (e.g., private equity, venture capital,
and operating companies directly).
I am actively pursuing research in data privacy, digital marketing, and other applied statistics topics related to inference and prediction. Please see below for my publications, papers under review, papers submitted, and working papers. I would like my research to have real-world impact,
so I have created R packages to complement two of my papers.
Education
Contact
daniel dot mccarthy bird at emory dot edu (minus the animal)
