Greg Lanzalotto

Greg Lanzalotto
  • Doctoral Candidate

Contact Information

  • office Address:

    3730 Walnut Street
    527.6 Jon M Hunstman Hall
    Philadelphia, PA 19104

Research Interests: Organizational oversight and control; policing and public-sector organizations; high-discretion work; monitoring technologies and AI; fairness and legitimacy; causal inference.

Links: CV

Overview

Greg Lanzalotto is a PhD candidate in Operations, Information, and Decisions at the Wharton School, University of Pennsylvania. His research examines how organizations monitor employee conduct and evaluate high-stakes processes when the underlying information is difficult to observe, selectively generated, or increasingly mediated by new technologies. He studies these questions primarily in policing, focusing on body-worn cameras, racial inequality in administrative data, and AI-assisted oversight. More broadly, he is interested in organizational oversight and control, public-sector accountability, and judgment under uncertainty.

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Teaching

Current Courses (Summer 2026)

  • OIDD0001 - Prescriptive Analytics

    In this course, we will explore the subject of quantitative business decision making. Specifically, we will study optimization and simulation tools and provide you with a set of key skills in the area of prescriptive analytics. We will illustrate the use of these tools in a variety of business applications, including manufacturing, logistics, inventory management, capital budgeting, insurance, and revenue management.

    OIDD0001920 ( Syllabus )

All Courses

  • OIDD0001 - Prescriptive Analytics

    In this course, we will explore the subject of quantitative business decision making. Specifically, we will study optimization and simulation tools and provide you with a set of key skills in the area of prescriptive analytics. We will illustrate the use of these tools in a variety of business applications, including manufacturing, logistics, inventory management, capital budgeting, insurance, and revenue management.

Knowledge at Wharton

When AI Transparency Backfires

New research shows that AI and machine learning models can be made to look fair and neutral in their interpretability outputs while continuing to produce biased real-world decisions.…Read More

Knowledge @ Wharton - 5/5/2026
Five Things to Know About Private Credit

As investor withdrawals and liquidity concerns rattle the $1.8 trillion market, Wharton’s Itay Goldstein explains how private credit works, why experts are uneasy, and what it could mean for your finances.…Read More

Knowledge @ Wharton - 5/5/2026
Why Women Need Other Women at Work

A new study on gender homophily in remote settings found that women who attended virtual career training did better when their classes did not include men.…Read More

Knowledge @ Wharton - 5/5/2026