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Research Interests:

Empirical Modeling in Marketing

Substantive Interests: Public Health, Consumer Finance, Digital Technology, CRM

Methodologies: Choice Models, State Space Models, Bayesian Statistics, Field Experiments

Industries: Tobacco, 401(k), Ride Sharing, Education, Politics, Sports, Hospitality, Livestreaming

About Me:

I have two research streams. The first research stream takes a public-policy perspective on marketing activity and focus on the regulatory implications of marketing actions in a variety of contexts including consumer financial decision making, retirement plans, anti-smoking campaigns, political advertising, secondary market restrictions, and mobile ride sharing apps.

My second research stream focuses on digital and technology marketing. Whether and how new digital and technology tools can be used to improve company sales and revenue performance. My recent projects have explored the impact of mobile hailing technology, digital learning apps, and livestreaming across various industries.

I am an empirical modeler, and my approach to research is problem rather than methodology driven. As such, I study research problems using a variety of techniques including optimization techniques such as dynamic programming, state space models, maximum likelihood methods, and Bayesian statistics. I also use a variety of data sources ranging from publically available data to data sourced through research partnerships with firms to field experiment data.