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I'm a Postdoctoral Fellow at the Management and Org. Dept of Kellogg School of Management and Northwestern Institute on Complex Systems. My research falls under Computational Social Science and addresses the dynamics in technology, the structure of human knowledge, and the organization of work.

I study the interplay between technology and human knowledge: you can do most things either by relying primarily on a tool or primarily on your skills. For example, you can solve a system of linear equations with a (good enough) calculator or apply your knowledge of matrix algebra using a pen and paper. The same idea extends to every task an economy does.

How should we divide and organize tasks between technology and human skills? What technologies should we in invent? And what skills should we develop? Ideally, we'd want answers that help the economy grow, the firm to succeed, and the human workers to get a fair share of the generated value. The answers my research offers are at the interplay of complexity, organizational science, innovation, and studies of the future of work.

I received my Ph.D. in Management Information Systems (thesis: "Structure of Knowledge and the Role of General Capital.") I was trained as an industrial engineer (BSc and MSc), and my field experience influences my empirically-grounded approach to using large volumes of data for scientific insights and policy. My research uses computational tools and network analysis, econometrics, and machine learning.