Warren Del-Pinto

Warren Del-Pinto is a Researcher specializing in Natural Language Processing (NLP) and Health Informatics. His work focuses on ontology-based clinical text annotation, synthetic clinical data generation, and privacy-preserving healthcare technologies. He is affiliated with the Digital Futures Institute for Data Science and AI and the Christabel Pankhurst Institute, where he contributes to interdisciplinary research in healthcare AI and knowledge representation.

Del-Pinto earned his PhD in 2022 under the supervision of Professor R. A. Schmidt, with a thesis titled Computing Spaces of Independent Explanations via Abductive Reasoning. His academic journey emphasizes formal logic systems, particularly in the context of medical terminologies like SNOMED CT.

His research interests span NLP applications in healthcare, clinical data anonymization frameworks, and the development of standardized patient summary terminologies. He has published extensively on topics such as ontology modularization, conditional transformer models for medical text generation, and automated coding of clinical narratives.

Key contributions include the Synthetic4Health framework for generating synthetic clinical letters and the DeIDClinic tool for de-identifying free-text clinical data. His work bridges theoretical computer science (e.g., description logics) with practical healthcare challenges, emphasizing explainability and interoperability in AI-driven systems.