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.
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.