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.

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AI’s Impact on Financial Services

Jeremy Siegel and Jeremy Schwartz discuss how artificial intelligence is transforming financial services, from investment research and financial advice to productivity, innovation, and the future of the industry.…Read More

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The Hidden Cost of Competition in the Workplace

Henning Piezunka, Wharton associate professor of management, explores how rivalry motivates individual performance while potentially undermining team success.…Read More

Knowledge @ Wharton - 10/2/2026
The NHL Salary Cap Surge Is Changing Team Building

Samuel Ventura, vice president of hockey strategy and research for the Buffalo Sabres, explores how a rapidly rising salary cap is changing roster construction, contracts, and player valuation.…Read More

Knowledge @ Wharton - 9/30/2026