Samuel Levy Email & Phone Number
@ens-cachan.fr
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Who is Samuel Levy? Overview
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Samuel Levy is listed as Assistant Professor of Business Administration at University of Virginia Darden School of Business, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at ens-cachan.fr and a matched LinkedIn profile for Samuel Levy.
Samuel Levy previously worked as Doctoral Candidate at Carnegie Mellon University and Instructor at Carnegie Mellon University. Samuel Levy holds Doctor Of Philosophy - Ph.D., Marketing from Carnegie Mellon University.
Email format at University of Virginia Darden School of Business
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AeroLeads found 2 current-domain work email signals for Samuel Levy. Compare company email patterns before reaching out.
About Samuel Levy
I am an Assistant Professor of Business Administration in the Marketing area at the University of Virginia Darden School of Business. I hold a Ph.D. in Marketing from Carnegie Mellon University. I am interested in customer analytics in multiple contexts: CPG industry, B2B, telecom, and nonprofit organizations. I’ve recently built Digital Marketing Twins to generate counterfactual simulations of customer behavior (satisfaction, switching...) using deep generative modeling and large-scale brand survey data across multiple firms.I've also been recently developing a privacy-preserving data fusion method in the telecom industry with my co-authors Prof. Longxiu Tian and Prof. Dana Turjeman. In a different context, I'm also studying the dynamics of donation behavior in a nonprofit organization within a large university with my co-authors Prof. Joy Lu and Prof. Alan Montgomery.I'm also working on flexible economic models of choice with Prof. Montgomery, and how consumers expand their consumption nonlinearly in product categories when their overall budget increases, to design more effective marketing instruments.My work involves various Bayesian methods, ranging from traditional Bayesian econometrics and time series, to modern probabilistic machine learning methods such as Gaussian processes and deep generative models.
Listed skills include Stata, Marketing Analytics, Marketing, Econometrics, and 15 others.
Samuel Levy's current company
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Samuel Levy work experience
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Assistant Professor Of Business Administration
Current
Doctoral Candidate
Dissertation title: Essays on Bayesian Machine Learning in MarketingChair: Prof. Alan Montgomery
Instructor
Instructor for 70-381 Marketing I (Undergraduate core course, summer semester)
Teaching Assistant
Marketing I, Undergraduate
Teaching Assistant
Machine Learning for Business, Undergraduate
Teaching Assistant
Mathematics for MBA students
Samuel Levy education
Doctor Of Philosophy - Ph.D., Marketing
Master Of Science - M.Sc., Marketing (Research Track)
B.Sc. Economics And Business Administration, Cum Laude
B.Sc. Economics, Cum Laude
Classe Préparatoire Ens Cachan D2 - Economie, Méthodes Quantitatives Et Gestion
Frequently asked questions about Samuel Levy
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What company does Samuel Levy work for?
Samuel Levy works for University of Virginia Darden School of Business.
What is Samuel Levy's role at University of Virginia Darden School of Business?
Samuel Levy is listed as Assistant Professor of Business Administration at University of Virginia Darden School of Business.
What is Samuel Levy's email address?
AeroLeads has found 2 work email signals at @ens-cachan.fr for Samuel Levy at University of Virginia Darden School of Business.
Where is Samuel Levy based?
Samuel Levy is based in Pittsburgh, Pennsylvania, United States while working with University of Virginia Darden School of Business.
What companies has Samuel Levy worked for?
Samuel Levy has worked for University Of Virginia Darden School Of Business, Carnegie Mellon University, University Of Michigan, and Carnegie Mellon University - Tepper School Of Business.
How can I contact Samuel Levy?
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What schools did Samuel Levy attend?
Samuel Levy holds Doctor Of Philosophy - Ph.D., Marketing from Carnegie Mellon University.
What skills is Samuel Levy known for?
Samuel Levy is listed with skills including Stata, Marketing Analytics, Marketing, Econometrics, Data Analysis, Statistics, Latex, and Microeconomics.
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