Jeffrey Hans Peo
Doctoral Candidate
Saïd Business School, University of Oxford
ABOUT
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.
Jeffrey 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.
RESEARCH
Thesis
Jeffrey is currently working on his doctoral thesis, titled How AI Reshapes a Professional Service Firm: Evidence from Management Consulting. The three-paper thesis addresses issues of control of the organization, delivery of AI-based project work, and the management of firm identity and image. The three papers are:
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The Evolving Network Structure of a Private Partnership Consultancy After the Introduction of AI Capabilities
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A Structural Analysis of Multidisciplinary Team Performance in Management Consulting
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The Introduction of Artificial Intelligence and Changes in Firm Identity and Image
A mix of quantitative methods including social network analysis, regression modeling, and natural language processing are being applied
Publications
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Smets, M., Rodgers, I., Peo, J. 2023 Professional Service Firms in Gallouj, F., Gallouj, C., Monnoyer, M.C. and Rubalcaba, L. eds., Elgar Encyclopedia of Services. Edward Elgar Publishing.
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Smets, M., Rodgers, I., Peo, J. 2023 Innovation in Professional Service Firms in Gallouj, F., Gallouj, C., Monnoyer, M.C. and Rubalcaba, L. eds., Elgar Encyclopedia of Services. Edward Elgar Publishing.
Projects
In addition to his own research, Jeffrey supports two Oxford initiatives dedicated to the AI ecosystem and Tech Transformations within professional services:
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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 from the Economic and Social Research Council. Read more.
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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 led by Professor Michael Smets of Oxford.
FORMAL EDUCATION
University of Oxford – Saïd Business School Doctor of Philosophy in Management, expected 2025
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Supervised by Mari Sako and Matthias Holweg
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Member of the Oxford Artificial Intelligence Society
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GMAT 770
University of Virginia – Darden School of Business Masters of Business Administration (MBA), 2010
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Coursework focused on strategy and entrepreneurship
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GMAT 780
University of Pennsylvania, Philadelphia PA Master of Science in Electrical Engineering, 2005
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Coursework focused on emerging technologies and entrepreneurship
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Project work focused on neural network development
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GRE: 800 Quantitative, 800 Analytical
Trinity College, Hartford CT
Bachelor of Science in Physics & Engineering, 2003
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Faculty-nominated Presidential Fellow; served on advisory council to College President
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Recognized for writing excellence by editorial board of The Frist-Year-Papers
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Co-President of Society of Physics Students
ADDITIONAL
COURSEWORK
Methods and Statistics in the Social Sciences University of Amsterdam, Coursera Specialization
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5-course program covering: Quantitative Methods, Qualitative Methods and Basic & Inferential Statistics
Applied Data Science & Statistics with Python University of Michigan, Coursera Specializations
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5-course and 3-course programs covering: Introduction to Data Science in Python; Applied Plotting, Charting, and Data Representation; Applied Machine Learning; Applied Text Mining; Applied Social Network Analysis; Understanding and Visualizing Data; Inferential Statistical Analysis; and Fitting Statistical Models to Data
Data Science Specialization (using R) Johns Hopkins University, Coursera Specialization
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10-course program covering: The Data Scientists Toolbox; R programing; Getting and Cleaning Data; Exploratory Data Analysis; Reproducible Research; Statistical Inference; Regression Models; Practical Machine Learning; and Developing Data Products
Additional online coursework completed:
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Statistics for Researchers: Mediation and Moderation
University of Virginia
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Measuring Causal Effects in the Social Sciences University of Copenhagen
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Econometrics: Methods and Applications
Erasmus Rotterdam
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Global Trends for Business and Society
University of Pennsylvania
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Network Dynamics of Social Behavior
University of Pennsylvania
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Organizational Analysis
Stanford
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Shaping Work of the Future
MITx
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Internet Giants, the Law and Economics of Internet Platforms
University of Chicago
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Mathematics for Machine Learning: Linear Algebra & Multivariate Calculus
Imperial College, London
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Strategic Management of Innovation
HEC Paris
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Organizational Design & Management
HEC Paris
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Economic Policymaking
IE Business School
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Business Opportunities & Risks in a Globalized Economy
IE Business School
TEACHING
University of Oxford
Teacher's Assistant - Predictive Analytics MBA Elective
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Taught 36 MBA students to program in R during the lab session of the course
Undergraduate Tutor - Strategic Management
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Weekly hour-long tutorial sessions for Economics & Management students
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Marked essays and collections (exams)
Boston University
Guest Speaker – Questrom School of Business
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Developed materials for and led a 90 minute class on data strategy and analytics
CONTACT
Email jeffrey.peo.dphil@said.oxford.edu
Address
Saïd Business School
University of Oxford
Park End Street
Oxford
OX1 1HP
