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.

Continue Reading

Knowledge at Wharton

How Forced Labor Scrutiny Shapes Supply Chain Transparency

A study co-authored by Wharton’s Sandra Schafhäutle examines why companies choose to hide their names in public shipping data.Read More

Knowledge @ Wharton - 6/23/2026
The Science of Perfect Timing: Using Chronobiology

In this Nano Tool for Leaders, experts from Wharton and Slalom explain how to find the best time for meetings based on your team's biological rhythm.Read More

Knowledge @ Wharton - 6/23/2026
Would You Trust AI for Ethical Advice?

Most people would not prefer to take ethical advice from a computer, but a new Wharton study shows how attitudes change when users see how good AI guidance can be.Read More

Knowledge @ Wharton - 6/23/2026