Discipline: Applied Science, Computer Science, Data Science, Management, Marketing, Social Science
Lab: Customer Intelligence Lab
Role: Faculty, Principal Investigator
Topic: AI / Machine Learning, Data & Analysis, Innovation & Disruption, Managing in the Digital Economy, Platforms & Crowds
What I do
I am a marketing professor interested in data-driven marketing, with a special emphasis on how retail businesses can leverage their own data, customer data, and market data to stay competitive and thrive. My research interests include retailing, pricing strategy, channel management, analytics and algorithmic bias.
What I care about
I am passionate about data-driven marketing and retail. Broadly, I study how brands and retailers can thrive in this era of digitization and wide data availability. More specifically, I am interested in how market power, regulation, and transparency affect pricing strategies, and how brands and retailers can (or should) respond to competitive dynamics.
How I connect to the D^3 Mission
I am passionate about the responsible use of data. I especially apply this in the context of retail, where data is helping companies rethink their pricing, assortment, and channel strategies. My recent work focuses on understanding the value of analytics (for online retailers) and on developing (machine learning) tools to leverage customer data in ways that align with societal values. This goes hand in hand with the D^3 mission.