Summary
Ignacio Soriano is a seasoned data scientist and health AI consultant with over a decade of experience applying machine learning, NLP (Word2Vec, BERT) and semantic search to healthcare systems at Hospital Rafael Méndez. He combines deep technical skills—developing ML algorithms, maintaining an open-source BI stack (Pentaho) and managing data warehouses—with operational expertise gained from leading hospital IT modernization projects since the 1990s. Ignacio has advised on clinical information standards (ISO 13606), worked with archetypes and SNOMED CT, and contributed as an AI expert for the European Commission, demonstrating a rare bridge between research, compliance and production systems. Equally comfortable in academia and industry, he has taught, alpha-tested courses at deeplearning.ai and consulted for health tech firms, always focusing on turning clinical data into actionable insights.
10 years of coding experience
2 years of employment as a software developer
Computer Science Computer Science, Computer Science Computer Science at Universidad de Granada
English, japanish, Spanish