How can firms expand their knowledge scope without expanding managerial hierarchy? We propose that shared knowledge between managers and workers (vertical) and workers and workers (lateral) can serve as an infrastructure to reduce the need for managerial expansion as the firm scales.
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I’m an Alfred P. Sloan Foundation Postdoctoral Fellow in the Management & Organizations Department at the Kellogg School of Management and a member of the Northwestern Institute on Complex Systems. I study the dynamics of human skills, technologies, and organizations.
My research centers on two key questions: (1) How do human skills and technology, especially AI, shape the organization of work and the structure that coordinates it? and (2) Which strategies and design choices enable individuals, firms, and policymakers to achieve their objectives? Drawing on insights from management, organization theory, strategy, and sociology, I tackle these questions using computational methods and large-scale data.
I'm on the 2027 academic job market.
News
NBER Economics of Science Initiative Grant
Delighted to have been awarded the competitive NBER Economics of Science Initiative grant to study AI in a major European science funding agency.
Alfred Sloan Foundation Postdoctoral Fellowship Award
My research at Kellogg School will be supported by a Sloan Foundation Fellowship. With Prof. Brian Uzzi, I’ll explore how AI is transforming innovation & discovery—building on work around human capital, search strategies, org structures & resource allocation.
Research
Organization
What coordination mechanism and organization designs enable scaling with minimal managerial hierarchy expansion
Technology
What are the technological determinants of innovation and rent appropriation
Human Skills
How individuals accumulate skills and translate their human capital into career opportunities and organizational assets
We analyze how AI reshapes the investment, organization and outcome of scientific production. Using a corpus of both funded and unfunded proposals to a large international funding agency, as well as detailed budget information, we show that AI primarily has changed the inputs and organization (and not the output) of research, lowering the cost, enlarging the teams, and shifting resources from equipment to human capital. Link to pre-print: https://arxiv.org/abs/2603.27956
Read MoreThis OpEd highlights new large-scale evidence that foundational skills-especially communication, teamwork, and other soft skills-are strongly linked to faster learning, higher earnings, and better long-term career mobility. Find the article in Harvard Business Review: https://hbr.org/2025/08/soft-skills-matter-now-more-than-ever-according-to-new-research
Read MoreThe paper, published in Nature Human Behaviour, examines pathways of skill accumulation to build a structural explanation of valuable human capital. Link: https://www.nature.com/articles/s41562-024-02093-2
Read MoreWe investigates a central tension between general-purpose AI and resource-based theory: whether the generality of AI amplifies or dilutes firm payoffs. We show that firms with extensive AI capabilities expand into more diverse technology recombinations. We set forth boundary conditions necessary for firms to gain from such expanded search activities. Link to preprint: https://papers.ssrn.com/abstract=4669795
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Teaching
ABOUT
Professional Journey
Trained as a Computational Social Scientist, I hold a Ph.D. in Management Information Systems from the University of Illinois. Using computational modeling, network analysis, econometrics, and machine learning, I analyze large volumes of data to explore how AI and related technologies can complement human capabilities, drive innovation and entrepreneurship, and shape the future of work. I have extensive experience teaching technical classes at both undergraduate and graduate levels.
I was trained as an Industrial and Systems Engineer (bachelor’s and master’s) and worked as a Systems and Process Engineer at several startups before joining Caterpillar Inc. At CAT, I observed and interviewed engineers, manufacturing workers, and operators, documenting production tasks and processes. Using computational and mathematical models, I improved safety measures, reorganized tasks, and optimized maintenance schedules. My industry experience motivates my research on the organization of work, productivity, innovation, and the dance between technologies and the skills people use at work.
Outside the Office
I enjoy playing soccer and volleyball, listening to music, and cooking in my spare time. I’m an avid reader, a huge fan of coffee. You'll find me strolling in streets with a cup of coffee in my hand, when I get the chance.
Trained as a Computational Social Scientist, I hold a Ph.D. in Management Information Systems from the University of Illinois. Using computational modeling, network analysis, econometrics, and machine learning, I analyze large volumes of data to explore how AI and related technologies can complement human capabilities, drive innovation and entrepreneurship, and shape the future of work. I have extensive experience teaching technical classes at both undergraduate and graduate levels.
I was trained as an Industrial and Systems Engineer (bachelor’s and master’s) and worked as a Systems and Process Engineer at several startups before joining Caterpillar Inc. At CAT, I observed and interviewed engineers, manufacturing workers, and operators, documenting production tasks and processes. Using computational and mathematical models, I improved safety measures, reorganized tasks, and optimized maintenance schedules. My industry experience motivates my research on the organization of work, productivity, innovation, and the dance between technologies and the skills people use at work.
Outside the Office
I enjoy playing soccer and volleyball, listening to music, and cooking in my spare time. I’m an avid reader, a huge fan of coffee. You'll find me strolling in streets with a cup of coffee in my hand, when I get the chance.