Courtney Bowman

Courtney Bowman has been working in the data analytics space for the last decade. After earning degrees in Physics and Philosophy at Stanford University, Courtney spent several years at Google working on quantitative analytics, auction design, and pricing strategy, where he developed a strong understanding of the intricacies of data analytics algorithmic implementation and the attendant privacy challenges.

Drawing on that background and an appreciation of the need for value-oriented approaches to systems architecture and design in order to ensure privacy protections, Courtney joined Palantir Technologies in 2010 as an in-house Privacy and Civil Liberties specialists. Within that role, he has developed extensive experience working with local and federal government agencies (including law enforcement, criminal justice, health and social services) to develop technology-driven solutions to information sharing and inter-agency cooperation in a manner that respects applicable privacy, security, and data integrity requirements. Courtney is an avid distance runner and cyclist. He resides in New York City with his increasingly unwieldy library of German literature and philosophy.


Security architecture

September 16, 2016

Become familiar with various ways to design technical methods that minimize the risk of having a class of users who must be trusted—of their own volition—to behave within a set of rules in order to safeguard privacy.