Gregory Lanzalotto

Gregory Lanzalotto
  • Doctoral Candidate

Contact Information

  • office Address:

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

Research Interests: Policing; Accountability; Quantitative Methods

Links: CV

Overview

Gregory Lanzalotto is a PhD candidate in Operations, Information, and Decisions at the Wharton School of the University of Pennsylvania. He develops statistical and computational methods to study policing and accountability using large-scale administrative and video data. His current work examines police use of force, racial bias in traffic enforcement, AI-assisted review of body-worn camera footage, and forensic genetic genealogy.

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Teaching

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

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