Greg Lanzalotto

Doctoral Candidate

Contact Information

Primary Email:
glanza@wharton.upenn.edu

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.

Teaching

Current Courses (Summer 2026)

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.
OIDD0001920 ( Syllabus )

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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