Author Archive
Michele Furlan
Head of AI Technology
Michele Furlan is the Head of AI Technology at Docuvera, leading the engineering teams responsible for the platform’s AI and data capabilities. A results-oriented data and AI engineering leader, Michele brings hands-on expertise across retrieval-augmented generation (RAG), knowledge graphs, machine learning, and cloud-native data architectures — the technical foundation on which Docuvera’s AI capabilities are built, governed, and deployed in regulated pharmaceutical environments.
His career spans data science and engineering leadership at Wessex Water, Kriya, and Qualis Flow, alongside neuroscience research at the Royal Holloway University of London (RHUL) in the UK, and the University of Padua and the International School for Advanced Studies (SISSA) in Italy — a background that brings both scientific rigor and engineering pragmatism to the challenge of building AI systems that perform reliably in high-stakes, compliance-intensive contexts.

Michele holds a Graduate Certificate in Mathematics (Birkbeck, University of London, UK), a MSc in Psychology (University of Trieste, Italy), a PhD in Neuroscience (University of Trento, Italy), and is completing an MS in Computer Science and AI (University of York, UK)
Explore how Docuvera applies AI to structured pharmaceutical content at https://docuvera.com/why-docuvera/ or connect with Michele on LinkedIn https://www.linkedin.com/in/michele-furlan-6826373/
Posts by Michele Furlan
The conversation about data quality for AI in pharma has shifted. It is no longer an upstream IT con…
The joint good AI practices principles released in January 2026 set a clear standard for AI in regul…
Introduction: AI in Regulated Content Management Meets Compliance in Life Sciences Artificial inte…
AI on its own isn’t enough. Learn why structured component authoring is the essential groundwork for…



