About

I am a PhD Candidate in Information Systems in the Information, Operations, and Management Sciences Department at NYU Stern School of Business.  My research interests include data science, business analytics, design science, advertising, natural language processing, television, social media, and crowdfunding.  My advisor is Foster Provost.

Prior to starting at Stern, I worked for four years at an online advertising agency, doing predictive modeling and data mining.  I have a BS in Mathematical Sciences from Worcester Polytechnic Institute.

My research uses machine learning techniques and individual-level data afforded by modern information technologies to explore the relationship between people's personal characteristics and their behaviors.  This relationship has previously been explored through a sociological lens, and I have been partially inspired by the desire to enable and improve novel behavioral findings by using modern predictive analytics techniques and massive individual-level data.  Furthermore, my past work experience in advertising and my enduring personal passion for popular culture, entertainment, and television have led me to focus on the application area of television advertising for my dissertation research, but I also have an interest in the domains of social media, text, crowdfunding, and finance.

My dissertation focuses on the use of massive individual-level data sets and predictive modeling to improve our understanding of the ways in which behaviors are connected to demographic and social characteristics.