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I am a computational Social Scientist interested in the structure of human knowledge and the organization of work. I study how the increasing volume and complexity of knowledge influence the division and organization of work.

I am particularly interested in technologies as means of hedging complexity. Take computers, for example. A small fraction of people specialize in building, programming, and distributing computers to the rest of the population. In this way, users do not have to learn all there is to know about building a computer. Instead, they can focus on other expertise. My research is about understanding and improving those divisions. I combine ideas from complex systems, managerial and economic theories to examine what influences and is influenced by the growth of knowledge. These questions interest organization theorists, students of innovation, and the broad stream on the future of work.

I am a Ph.D. candidate in Management Information Systems at the University of Illinois and a Research Fellow at the Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management. I was trained as an engineer. My field experience influences my empirically grounded approach to using large volumes of data for scientific insights and policies. I apply computational tools and network analysis, econometrics, and machine learning in my work.