news

Apr 01, 2026 Selective prediction allows AI systems to abstain when outputs are unreliable. How can we move beyond binary risks while retaining finite-sample validity? Check out our new paper SCoRE, where we develop an e-value-based framework for general risk control in selective prediction.
May 02, 2025 I’m pleased to share that our paper generalizing conformal selection to the multivariate case has been accepted to ICML 2025!
Nov 28, 2024 Vanilla conformal selection requires a predefined conformity score function, which can limit selection power by preventing score optimization without additional data splitting. Checkout OptCS, a general framework that enables statistical testing (selection) after flexible data-driven model optimization!
Nov 01, 2024 My paper comparing conformal selection with traditional methods in drug pre-screening is now available as a preprint!
Sep 28, 2024 I’m pleased to announce that our paper on using machine learning to predict patient outcomes in emergency department triage has been accepted for publication in the Canadian Journal of Emergency Medicine!
May 15, 2024 My personal website is now live.