Natalie Isak

Natalie Isak is a Machine Learning Engineer on Microsoft's AI Safety and Security team. Her work focuses on identifying and reducing the risks that come with more capable AI systems. She is especially interested in the tensions that new technologies create, such as how privacy and security interact, and more generally how what AI systems could do lines up with what they ought to do.

Beyond her role, Natalie holds several patents and peer-reviewed publications in AI safety. She also holds a BS in Computer Science from Cornell University.

Email: natalie.isak@reuben.ox.ac.uk

Personal website: https://natalieisak.com