School of Engineering


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  • Farnaz "Naz" Ghaedipour

    Farnaz "Naz" Ghaedipour

    Postdoctoral Scholar, Management Science and Engineering

    BioI am a postdoctoral scholar in the Department of Management Science and Engineering at Stanford University at the Centre for Work, Technology, and Organization (WTO), advised by Arvind Karunakaran. I earned my PhD in Management of Organizational Behavior and Human Resources from McMaster University, under Erin Reid’s supervision.

    I study how technological changes in the organization of work (e.g., the advent of AI and digital platforms) and the rise of the gig economy combine with norms and ideal images of work (e.g., authenticity, passion, entrepreneurialism) to shape the structure, organization, and experience of work. I primarily use qualitative research methods, including interviews, participant observation, and ethnography. To approach the individual phenomena as embedded in the contextual structure, I often complement the data derived from interviews and observations with contextual information derived from secondary data sources (e.g., archival and walk-through data). Occupations studied include Instagram content creators, journalists, Upwork freelancers, software engineers, and graphic designers.

    I was a finalist in the 2021 INFORMS/Organization Science Dissertation Proposal Competition and the recipient of the SSHRC post-doctoral fellowship (2022), Ontario Graduate Fellowship (2021), and the Ontario Graduate Scholarship (2020).

  • Jiajin Li

    Jiajin Li

    Postdoctoral Scholar, Management Science and Engineering

    BioI am a postdoctoral researcher in Department of Management Science and Engineering (MS&E) at Stanford University, hosted by Prof. Jose Blanchet. Previously, I received my Ph.D. degree in Department of Systems Engineering and Engineering Management from the Chinese University of Hong Kong (CUHK) in 2021, where I was fortunate to be advised by Prof. Anthony Man-Cho So.


    My research lies in the intersection between optimization, applied probability, and machine learning.

    More Information: https://gerrili1996.github.io/

  • Patrick Sheehan

    Patrick Sheehan

    Postdoctoral Scholar, Management Science and Engineering

    BioPatrick Sheehan a Post-Doctoral scholar in the Work, Technology, and Organizations group at MS&E. He is an ethnographer and economic sociologist who studies work, culture, and technological innovation. His research focuses on elite professional employment as an entryway for understanding cultural transformations to contemporary capitalism. Ongoing projects investigate the puzzling rise of “career coaches” as self-styled “experts” in career management, and an ethnographic study of “hype culture" in Silicon Valley start-ups.

    His work has been published in American Journal of Sociology, Annual Review of Sociology, and Work & Occupations, and has received best-paper awards from the American Sociological Associuation sections on Cultural Sociology; Organizations, Occupations, and Work; and Economic Sociology.

    Patrick earned a BA from the University of California, Santa Barbara and a PhD from the University of Texas at Austin.