Kai Cooper

Kai Cooper
  • Doctoral Student

Contact Information

  • office Address:

    3730 Walnut Street
    533.3 Jon M Huntsman Hall
    Philadelphia, PA 19104

Research Interests: causal inference, machine learning, partial identification, fairness, discrimination, education, educational technology in the classroom

Links: Personal Website

Overview

Kai is a PhD student in the Operations, Information and Decisions Department at the Wharton School, advised by Dean Knox. Before coming to Penn, he received a First Class master’s degree in mathematics from Imperial College London, UK, with a year spent abroad at the École polytechnique fédérale de Lausanne, Switzerland. His interests lie in the development of novel mathematical and statistical methods for causal inference, with a particular focus on partial identification. Ongoing applications of his work include discriminatory policing, fairness, social mobility and the intersection of classrooms, educational technology and personalised learning.

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Knowledge at Wharton

Greenhushing: When Firms Do More Than They Say

Some companies downplay their environmental efforts, a practice known as greenhushing. A new working paper co-authored by Wharton’s Serguei Netessine finds that this gap between what firms say and what they do is associated with higher subsequent abnormal stock returns.Read More

Knowledge @ Wharton - 9/8/2026
AI Is Producing More Software. Why Isn’t It Being Used?

A Wharton study finds that while AI dramatically speeds up software development, human bottlenecks prevent many of those gains from reaching customers.Read More

Knowledge @ Wharton - 9/8/2026
The Hidden Financial Risks of the AI Boom

Joao Gomes, Wharton professor of finance and senior vice dean of research, centers, and academic initiatives, explains why the Federal Reserve needs to pay closer attention to how the massive AI boom is being financed.Read More

Knowledge @ Wharton - 9/4/2026