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

Current Courses (Spring 2026)

  • 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.

    OIDD1010005 ( Syllabus )

    OIDD1010006 ( Syllabus )

    OIDD1010007 ( Syllabus )

    OIDD1010008 ( Syllabus )

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.

Knowledge at Wharton

Why Social Security Is Essential to Measuring Wealth Inequality

Wharton's Sylvain Catherine explains how not accounting for Social Security can lead to inaccurate measurements of wealth inequality.…Read More

Knowledge @ Wharton - 3/10/2026
What’s Your Chronotype? How Brain Science Can Boost Performance

A collaboration between the Wharton Neuroscience Initiative and Slalom explores how aligning work with individuals’ biological rhythms can help teams perform their best.…Read More

Knowledge @ Wharton - 3/10/2026
How Labor Market Power Shapes the Impact of Monetary Policy

Firms with greater labor market power are less responsive to monetary policy in their hiring and wage decisions, new Wharton research shows. …Read More

Knowledge @ Wharton - 3/10/2026