Natalie Jorion is a principal data scientist specializing in cybersecurity resilience modeling. Proficient in R, Python, Git, AWS, and SQL, she has developed Shiny apps for DIF panels and Standard Settings and is CompTIA Security+ certified.

Natalie holds a PhD in Learning Sciences and Psychometrics from the University of Illinois at Chicago and an MA from Northwestern. Her dissertation focused on designing diagnostic assessments in statistics. She has peer-reviewed for several prominent journals and conferences, and in 2016, she received an NSF Data Science Fellowship for visualizing learner interactions in STEM games.