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.

Knowledge at Wharton

How to Break Into the Workforce in an AI-Driven Job Market

Matthew Bidwell, professor of management at the Wharton School, explores how the job search process is evolving for today’s graduates and what it takes to break into the workforce.…Read More

Knowledge @ Wharton - 4/14/2026

Generative AI Won’t Create Value on Its Own

Wharton’s Rahul Kapoor explains why leaders need to think beyond the technology and focus on the strategic challenges of emergence, enablement, and embedding.…Read More

Knowledge @ Wharton - 4/13/2026

How Homeownership Helps Build Wealth

Mortgage modifications during the Great Recession helped distressed borrowers keep their homes and accumulate more capital gains wealth, a new Wharton study finds.…Read More