Explore how AI accelerates antibody discovery by enabling de novo design, epitope prediction, and in silico affinity maturation for highly specific, developable therapeutics.
Learn how deep learning and structure-based models optimize antibody stability, immunogenicity and target binding to advance precision biologics.

Petar Pop-Damkov

Eli Bixby
Eli makes sure Cradle's models and algorithms are doing what we think they are doing, and he keeps an eye out for the latest and greatest techniques in the literature. He was previously at Google (Brain, Accelerated Science, Cloud) working on biological sequence design, AutoML, and natural language understanding. He studied mathematics, computer science, and biochemistry

Claudette Fuller

Gevorg Grigoryan
Cradle
Website: https://www.cradle.bio/
Cradle's software helps scientists leverage the latest technological breakthroughs in AI to rewrite biology and unlock new therapeutics, materials, and food sources. Generate novel protein candidates, improve multiple properties simultaneously, and run fewer experiments to create optimized leads.













