Doctoral Student

Clarence Lee

Clarence is a doctoral student in the Marketing Unit at Harvard Business School.  His research interest include viral marketing, diffusion of technology and social networks.

Before HBS, Clarence received undergraduate and graduate degrees in Electrical Engineering & Computer Science, both from M.I.T.  For his master’s thesis, he built a Bayesian Probabilistic Inference Engine to power User-Adaptive Morphing Websites.  Prior to pursuing graduate studies, he has conducted nanotechnology research at IBM and space system design at MIT Lincoln Laboratory.  In 2005, he cofounded the MIT Technology Fair, a MIT organization that showcases latest technologies from the private and public sectors.  

 

Other Publications and Materials

  1. Viral Videos: The Dynamics of Online Video Advertising Campaigns

    Keywords: Online Advertising; Advertising Campaigns;

    Citation:

    Elberse, Anita, Clarence Lee, and Lingling Zhang. "Viral Videos: The Dynamics of Online Video Advertising Campaigns." 2011. (Invited for Resubmission at Marketing Science.)
  2. User Adaptive Web Morphing: An Implementation of a Web-based Bayesian Inference Engine with Gittins Index: Master of Engineering Thesis

    Citation:

    Lee, Clarence. "User Adaptive Web Morphing: An Implementation of a Web-based Bayesian Inference Engine with Gittins Index: Master of Engineering Thesis." MIT Master's Thesis Series, Massachusetts Institute of Technology (MIT), 2008.