JPM Reception: From Noise to Hits in AI-powered Small-Molecule Discovery

​Join us for a discussion on how AI, physics-based modeling, and DNA-encoded libraries (DEL) are reshaping small-molecule discovery—highlighting where these approaches truly compress design–make–test cycles, where they break down due to data limitations, and why persistent gaps in benchmarking and validation still constrain their reliability in real drug-discovery programs.

Speakers / Panelists

​Leash.bio (Ian Quigley, Co-founder & CEO)
Leash.bio leverages large-scale experimental data from DNA-encoded library (DEL) screens to identify and prioritize novel small-molecule binders.

​Deep Origin
Deep Origin develops AI models grounded in physics-based methods to predict molecular behavior and improve decision-making across small-molecule discovery and optimization.

​Inductive Bio (Josh Haimson, Co-founder & CEO)
Inductive Bio applies machine-learning models to learn structure–property and structure–activity relationships from experimental data.

CDD Vault (Barry Bunin, CEO & President)
CDD Vault is a collaborative data platform designed to capture, organize, and analyze chemical and biological assay data.

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​Format

​16:30
 Hors d’oeuvres and drinks

​17:00
 Expert perspectives: 3 experts x 10 minutes

​17:45
 Moderated panel discussion

​18:30 Open conversation & connections