Dr. Jonathan Laserson is a machine learning expert and consultant, and the lead AI strategist of Zebra Medical Vision. He did his PhD in the AI lab of Stanford University and his undergraduate studies at the Technion. He built ML systems for Google and IBM research, and at Zebra Medical lead the development of clinical AI products from the idea stage to FDA-approval and production.
Automatic Curation of Test sets
Test sets are often designed to have a specific composition of cases, with constraints applied to each sub-population. Treating test-set curation as an optimization problem could save precious time and transition us towards a "data as code" paradigm.