Clarence's research applies deep learning and Bayesian econometric techniques to digital marketing and customer analytics applications across various industries. He has spent the past ten years studying the drivers behind consumer adoption, usage and purchase dynamics of digital goods and services found in the start-up ecosystems of NYC and Silicon Valley.
His latest research interest is to help firms tackle digital transformation, and his most recent project focuses on employing novel artificial intelligence methods to enable customer analytics while preserving customer privacy. He taught Digital Marketing, Data Analytics & Modeling, and the Strategic Product & Marketing Immersion (SPMI) at both Johnson Graduate School at Cornell in Ithaca and Cornell Tech campuses.
Clarence received his doctorate from Harvard Business School and holds undergraduate and graduate degrees in electrical engineering and computer science from MIT. His research has received recognition, including the Wyss Award for Excellence in Doctoral Research at the Harvard Business School, and the Clayton Dissertation Proposal Award from the Marketing Science Institute. He currently sits on the board of the ANA Education Foundation and has advised various data-driven start-ups.