Equanimity Labs Equanimity Labs was founded to build better software for institutions teaching clinical reasoning. PRISM is the company’s first platform, combining faculty-guided teaching, Case-Based Learning, and curriculum-grounded AI systems for modern educational delivery.
Equanimity Labs grew out of complementary work at Johns Hopkins University. Dr. Shah’s clinical and educational leadership in infectious diseases and Dr. Clipman’s work in AI methods and systems design converged around the same practical problem: case-based clinical teaching is one of the most effective ways to teach reasoning, but it is difficult to deliver repeatedly, consistently, and at institutional scale.
Equanimity Labs helps institutions preserve the quality of faculty-guided teaching while building strong AI infrastructure for modern educational delivery.
Dr. Clipman’s work sits at the intersection of AI methods, infectious disease research, and product architecture. At Equanimity Labs, he leads platform design, technical strategy, and the AI systems work required to turn faculty-authored educational content into durable, deployable software.
Dr. Shah directs infectious diseases educational activities at Johns Hopkins and serves as co-director for the microbiology and infectious disease curriculum. His prior work includes digital tools for tuberculosis and HIV care, including video-DOT and HIVASSIST. At Equanimity Labs, he leads the clinical, educational, and partnership direction of the company’s platform.
Educational priorities should remain in the hands of faculty and institutions rather than defaulting to generic model behavior.
Useful software in medicine needs clear scope, strong source grounding, and obvious operating boundaries.
We build for real academic and educational settings, where operational detail matters as much as technical capability.
The company name is drawn from William Osler’s idea of Aequanimitas , a concept closely associated with Johns Hopkins medicine. It reflects the tone we want the work to carry: measured, careful, and grounded in judgment rather than hype.
