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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Wharton finance professor Nikolai Roussanov explains how 401(k)s are exposed to market volatility, the likelihood of government intervention, and what investors should expect in a crisis.Read More

Knowledge @ Wharton - 8/7/2026
Why AI Makes Collective Intelligence More Valuable Than Ever

Henning Piezunka, associate professor of management at the Wharton School, explains why AI isn't replacing collective intelligence — it is transforming how organizations access, develop, and apply it to drive innovation and growth.Read More

Knowledge @ Wharton - 8/5/2026
Why Pitch Counts Are Failing Baseball

Travis Sawchik, baseball analytics writer and author, explains why pitch counts miss the full picture of pitcher workload and fatigue.Read More

Knowledge @ Wharton - 8/5/2026