School of Engineering
Showing 1-10 of 29 Results
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Lodewijk Gelauff
Postdoctoral Scholar, Communication
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017BioLodewijk Gelauff is a Ph.D. candidate in the department of Management Science and Engineering at Stanford University. His work focuses on online technologies for societal decision making. He manages the PB Stanford platform for Participatory Budgeting and led the development of the Stanford Platform for Online Deliberation, an online video chat platform that can scale small-group conversations with a structured agenda.
Lodewijk has been an active contributor and volunteer in the Wikipedia/Wikimedia community in various roles including as a founder and core organizer of the photography competition Wiki Loves Monuments, and was named the 2021 Wikimedia Laureate. -
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). -
Kay Giesecke
Professor of Management Science and Engineering
Current Research and Scholarly InterestsKay is a financial technologist whose research agenda is driven by significant applied problems in areas such as investment management, risk analytics, lending, and regulation, where data streams are increasingly large-scale and dynamical, and where computational demands are critical. He develops and analyzes statistical machine learning methods to make explainable data-driven decisions in these and other areas and efficient numerical algorithms to address the associated computational issues.
