Stuart is a legal engineer at Immuta, the world’s leading data management platform for data science, and a J.D. candidate at Yale Law School. Previously, Stuart worked as a data scientist evaluating the impact of international economic development programs. He studied mathematics at the University of Arkansas and the University of Cambridge.
Contributions by Stuart Shirrell
The privacy pro's guide to explainability in machine learning
Why we're concerned about the WP29's guidelines on machine learning