12/16/2025 | Press release | Archived content
SAN DIEGO, CA - December 16, 2025 - Iambic, a clinical-stage life sciences and technology company advancing novel medicines through its AI-driven discovery and development platform, today announced that Tom Miller, Ph.D. (Co-Founder and Chief Executive Officer) and Fred Manby, Ph.D. (Co-Founder and Chief Technology Officer) will present at the 44th Annual J.P. Morgan Healthcare Conference. Iambic's presentation will take place on Tuesday, January 13, 2026, at 4:30 p.m. PT at the Westin St. Francis Hotel in San Francisco.
Iambic will highlight strategic progress over the past year, which has laid the groundwork for significant upcoming milestones. Highlights include:
The company will also preview key activities anticipated in the near-term, including:
Iambic will also be at the conference to meet with investors and potential biopharmaceutical and technology partners.
About Iambic
Iambic is a clinical-stage life-sciences and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient needs. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai
About Iambic's AI-Driven Discovery Platform
The Iambic AI-driven platform was created to address the most challenging design problems in drug discovery, leveraging technology innovations such as Enchant (multimodal transformer model that predicts clinical and preclinical endpoints) and NeuralPLexer (best-in-class predictor of protein and protein-ligand structures). The integration of physics principles into the platform's AI architectures improves data efficiency and allows molecular models to venture widely across the space of possible chemical structures. The platform enables identification of novel chemical modalities for engaging difficult-to-address biological targets, discovery of defined product profiles that optimize therapeutic window, and multiparameter optimization for highly differentiated development candidates. Through close integration of AI-generated molecular designs with automated chemical synthesis and experimental execution, Iambic completes design-make-test cycles on a weekly cadence.
Contact: