Dr. Zach Kurtz is a data scientist with experience on projects in fields as diverse as cybersecurity, public transit, psychology, marketing analytics, ecology, medicine, human rights, and international capital flows. Kurtz’s dissertation built on capture-recapture theory to introduce a new method for estimating the sizes of partially observed populations. At the SEI, Kurtz has developed new evaluation methodologies for open-ended cyber warning competitions, built text-based classifiers, and designed cyber incident data visualization tools.
Publications by Zach Kurtz
Integration of Automated Static Analysis Alert Classification and Prioritization with Auditing Tools: Special Focus on SCALe
May 13, 2019 • Technical Report
This report summarizes progress and plans for developing a system to perform automated classification and advanced prioritization of static analysis alerts.read
September 20, 2018 • Podcast
CERT researchers Lori Flynn and Zach Kurtz discuss ongoing research using test suites as a source of labeled training data to create classifiers for static analysis alerts.learn more