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

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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How Fast-Casual Brands Build Loyalty

Joel Bulger, CMO of WOWorks, discusses brand differentiation, customer personalization, loyalty, AI, and marketing across a portfolio of restaurant concepts.Read More

Knowledge @ Wharton - 8/13/2026
The NFL’s Biggest 2026 Questions

Aaron Schatz, national NFL analyst at ESPN and chief analytics officer at FTN Fantasy, breaks down 2026 NFL projections, the teams poised to rise, and the factors that shape a season forecast.Read More

Knowledge @ Wharton - 8/12/2026
Can AI Companies Regulate Themselves?

Wharton professor of legal studies and business ethics Kevin Werbach explains why AI governance is so difficult, why companies can't be left to regulate themselves, and what governments need to do as AI becomes more powerful.Read More

Knowledge @ Wharton - 8/12/2026