Summary
Valeria De Paiva is a Principal Research Scientist with over a decade of experience at the intersection of category theory, type theories, and AI-driven natural language semantics, currently based in Cupertino and leading research at the Topos Institute. Trained as a mathematician with a PhD from Cambridge, she has a long track record translating deep logical and categorical ideas into practical systems for search, knowledge representation, and explainable language models across industry and academia. Her work spans DARPA-scale projects, commercial voice and search platforms, and ontology-driven sentiment analysis, reflecting a rare blend of theoretical rigor and product-focused evaluation. Valeria is known for applying linear and modal logics to concrete NLP and security problems, and for building structured, auditable models that make mathematical and linguistic reasoning machine-interpretable.
12 years of coding experience
27 years of employment as a software developer
Ph D, Pure Mathematics, Ph D, Pure Mathematics at University of Cambridge
Pontifical Catholic University of Rio de Janeiro
Portuguese, English, French