Pauric Bannigan, co-founder and CSO of Intrepid Labs, is building one of the first AI-native platforms for drug formulation, combining machine learning, robotics, and experimental science to tackle one of pharma’s most complex bottlenecks.
We discuss why drug formulation remains a critical but underexplored step in drug development, and how Intrepid’s “self-driving lab” integrates AI-driven decision-making with automated experimentation to accelerate formulation design.
From academic research in pharmaceutical chemistry to founding an AI-first biotech company, Pauric shares lessons on building at the intersection of machine learning, robotics, and drug development, scaling interdisciplinary teams across computation and experimental science, and transforming formulation from a manual bottleneck into a data-driven system.