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

The FDNY’s Transformation After 9/11

Gregory P. Shea, Wharton adjunct professor of management and co-author of 'Rising from Ground Zero,' discusses how the FDNY transformed its leadership, training, psychological support, and disaster response after 9/11.…Read More

Knowledge @ Wharton - 9/11/2026
How the NFL Is Winning a New Generation of Fans

Marissa Solis, SVP of global brand and consumer marketing at the NFL, explains how the league is building stronger connections with new audiences at home and around the world.…Read More

Knowledge @ Wharton - 9/10/2026
The Business of Shared Scooters

Gad Allon, Wharton professor of operations, information and decisions, explains how shared bikes and scooters make money, why cities regulate them, and what their future looks like in urban transportation.…Read More

Knowledge @ Wharton - 9/9/2026