

Drew Prinster
225 posts

@DrewPrinster
Trustworthy AI/ML in healthcare & high-stakes apps | My job is (mostly) error bars 🫡 (eg, conformal prediction) | CS PhD at Johns Hopkins. Prev at Yale. he/him








Excited to announce @amazon's new AI PhD Fellowship Program supporting 100+ students across 9 universities like Carnegie Mellon, MIT & Stanford. Fellows will be paired with senior scientists working in related fields, plus receive financial support and AWS credits for research. Learn more: amazon.science/news/amazon-la…









Today we're releasing Claude Opus 4.1, an upgrade to Claude Opus 4 on agentic tasks, real-world coding, and reasoning.



AI monitoring is key to responsible deployment. Our #ICML2025 paper develops approaches for 3 main goals: 1) *Adapting* to mild data shifts 2) *Quickly Detecting* harmful shifts 3) *Diagnosing* cause of degradation 🧵w/ @xinghan0 @anqi_liu33 @suchisaria arxiv.org/abs/2505.04608



& “WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales” by @DrewPrinster, @xinghan0, @anqi_liu33, & @suchisaria proposes a weighted generalization of conformal test martingales: arxiv.org/abs/2505.04608 (5/5)












AI monitoring is key to responsible deployment. Our #ICML2025 paper develops approaches for 3 main goals: 1) *Adapting* to mild data shifts 2) *Quickly Detecting* harmful shifts 3) *Diagnosing* cause of degradation 🧵w/ @xinghan0 @anqi_liu33 @suchisaria arxiv.org/abs/2505.04608

