Summary
Camilo Thorne is a Senior Data Scientist and computational linguist with 11 years of experience fusing statistical NLP and symbolic knowledge representation to solve real-world information extraction and retrieval problems. He has led NLP and generative-AI initiatives at Elsevier—designing neural search, RAG and fine-tuned LLM systems for life-sciences products covering 200M+ publications—and now builds generative AI products for asset management at Berenberg. His background spans academia and industry, from PhD research on formal semantics and computational complexity to postdoctoral work on clinical and biomedical NLP and productionizing entity linking and relation extraction at scale. Known for bridging ontologies, lexical resources and computational logic with modern neural pipelines, he also mentors and hires data science teams and presents research at major AI venues. Fluent in both theory and applied engineering, he brings a rare combination of formal semantics expertise and hands-on product delivery across multidisciplinary, distributed teams.
11 years of coding experience
17 years of employment as a software developer
MSc Computer Science, MSc Computer Science at Université Paris 13
PhD Computer Science, PhD Computer Science at Free University of Bozen-Bolzano
BSc Logic, BSc Logic at University of Paris I: Panthéon-Sorbonne
BA Philosophy, BA Philosophy at Pontificia Universidad Católica del Perú
Spanish, French, English, German, Italian