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

When AI Makes Financial Decisions

Winston Dou, faculty director of the Wharton AI in Finance Lab, explains how AI agents could improve financial decisions while creating new risks for markets, competition, and regulation.…Read More

Knowledge @ Wharton - 10/13/2026
What Does It Mean to Be ‘Happy’ at Work?

In an excerpt from his new book, ‘The Insider Advantage,’ Wharton’s Matthew Bidwell examines what provides a fulfilling career, as well as which jobs have the highest and lowest job satisfaction. …Read More

Knowledge @ Wharton - 10/13/2026
How AI Planning Could Create Financial Market Fragility

New Wharton research shows how informed AI speculators could coordinate to manipulate positive-feedback investors.…Read More

Knowledge @ Wharton - 10/13/2026