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Jeffrey Peo

Doctoral Candidate

  • Jeffrey.Peo.DPHIL@said.oxford.edu

Saïd Business School
University of Oxford
Park End Street
Oxford
OX1 1HP

Profile

Jeffrey Peo is a doctoral candidate in Management, supervised by Mari Sako and Matthias Holweg. 

His research focuses on artificial intelligence and the future of professional work and is funded by the Saïd Business School Foundation and by Green Templeton College.

He holds a Master of Science in Electrical Engineering from the University of Pennsylvania, a Master of Business Administration from the Darden School of Business at the University of Virginia, and Bachelor of Science degrees in physics and engineering from Trinity College, CT.

Prior to attending Oxford, he spent several years in management consulting and as the CEO of a technology startup he cofounded.

Visit Jeffrey’s website for his full CV.

Research

Jeffrey is interested in artificial intelligence and the future of work, with a particular focus on the incorporation of data scientists into professional organisations. His thesis investigates contests between incumbent and new professionals within a management consultancy through the lens of professional jurisdiction.

In addition to his own research, Jeffrey supports two Oxford initiatives dedicated to the AI ecosystem and tech transformations within professional services:

  • The Oxford Venture Analytics Initiative, in collaboration with OpenOcean.vc, seeks to develop a taxonomy and AI-powered classification system for the UK AI ecosystem to support founders, funders and policymakers. The project is led by Mari Sako and Matthias Qian and is funded by the Impact Acceleration Fund of the Economic and Social Research Council. Read more.
  • Tech Transformation Roundtables: bringing together lawyers, technologists and policymakers to facilitate the 'missing conversations' for the future of law. The project was commissioned by the City of London Corporation and is led by Michael Smets.

Teaching

Jeffrey has served as a tutor in the undergraduate Strategic Management course and as a teacher’s assistant in the Predictive Analytics MBA elective course.