Research Summary

 My research combines cutting edge tools in machine learning with unique empirical contexts – modern art, jazz and more recently executive search – to examine fundamental questions about human capital, culture, and social construction of labor markets. These questions include: What is the relationship between human capital (in the form of novelty) and social capital? Does social capital shape success in creative markets, independent of objective merit? What are the returns to a conventional or atypical career trajectory for MBAs and senior executives? My work with machine learning based measures of novelty has led to my interest in examining organizational principles for combining artificial intelligence (AI) and human evaluations to address some of the inequalities in labor markets and uncover new talent. 

I completed my Ph.D. in Management from Columbia Business School. I graduated from the University of Rochester with a double major in Mathematics (BS) and Economics (BA) (Summa Cum Laude, Phi Beta Kappa).  Before embarking on my PhD, I worked in investment banking and was a research associate in the Strategy division at Harvard Business School.