I work at the intersection of AI and science, building systems that can represent, reason over, and explain complex scientific knowledge. My doctoral dissertation combined knowledge graphs, ontologies, and AI to make experimental data in prebiotic chemistry interpretable and reusable, to apply AI models and machine learning techniques on the curated data set.