David Schulker is a senior data scientist at the SEI. His current work includes projects for DoD clients focused on Large Language Model test and evaluation, statistical modeling to support zero trust implementation, and data architecture design. His past research has focused on using econometric and statistical techniques to analyze defense and homeland security workforce challenges, including recruiting, operator training, career progression, and retention, with some additional work on topics involving K-12 education, military spouses, and veterans. Much of his work has focused on designing and testing machine learning-based software tools to improve human resource management decision-making.

Schulker earned a PhD in Policy Analysis from Pardee RAND Graduate School and a BS in Economics from the U.S. Air Force Academy, where he minored in German and won the Superintendent's RAND PhD Fellowship.