Sophie Yu

Sophie Yu
  • Assistant Professor of Operations, Information and Decisions

Contact Information

  • office Address:

    3730 Walnut Street
    550 Jon M. Huntsman Hall
    Philadelphia, PA 19104

Research Interests: Operations research, applied probability, high-dimensional statistics, network science, information theory

Links: CV, Personal Website

Overview

Sophie H. Yu is an assistant professor of Operations Information and Decisions at the Wharton School of Business, University of Pennsylvania. She was a postdoctoral scholar in the Department of Management Science and Engineering at Stanford University. She received her Ph.D. in Decision Sciences from the Fuqua School of Business at Duke University in 2023, and an M.S. degree in statistical and economic modeling from Duke University in 2017, and a B.S. degree in Economics from Renmin University of China in 2015. Her research interests focus on high-dimensional statistics, algorithm design, and performance evaluation in large-scale networks and stochastic systems.
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Teaching

All Courses

  • OIDD1010 - Introduction To Oidd

    OIDD 101 explores a variety of common quantitative modeling problems that arise frequently in business settings, and discusses how they can be formally modeled and solved with a combination of business insight and computer-based tools. The key topics covered include capacity management, service operations, inventory control, structured decision making, constrained optimization and simulation. This course teaches how to model complex business situations and how to master tools to improve business performance. The goal is to provide a set of foundational skills useful for future coursework atWharton as well as providing an overview of problems and techniques that characterize disciplines that comprise Operations and Information Management.

  • STAT9950 - Dissertation

    Dissertation

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