Applied tools, digital systems, governance frameworks, and field programmes — from seed portals in West Africa to a privacy-first RAG pipeline running on a Mac Studio in Wageningen.
A privacy-first, GDPR-compliant local LLM stack for processing anonymised interview transcripts and sensitive research data. Mistral 7B, Gemma 4, BM25 hybrid retrieval, cross-encoder reranking, Streamlit, Mac Studio.
RAG-powered prototype delivering agronomic guidance in local languages to smallholder farmers in settings with limited connectivity. Presented at CORDiALL 2026, Montpellier. Co-authored with Robbemond, Tummers & Verdouw.
An interactive React application mapping WUR's internal AI governance landscape — tools, use cases, DPIA requirements, and EU AI Act compliance pathways for researchers.
AI-powered admissions screening tool for NFP e-course applicants. Scores against programme criteria using structured prompts and LLM inference, reducing manual review time by ~70%.
A GenAI-assisted research data management copilot for the ReGeNL project. Navigates GDPR obligations, Joint Controller Agreements, and DPIA compliance for cross-institutional data sharing. 41-document ChromaDB knowledge base.
An AI-powered seed advisory concept for Indian smallholders, submitted to the MoAFW AI Hackathon 2026. Co-conceptualised with Dr. Sultan Singh as lead applicant.
Design, establishment, and evaluation of community seed banks at the HDP nexus. Working with ZOA, ISSD Africa, and local government structures. Includes a proposed Community Quality Seed regulatory class.
Country-level digital seed variety registration and catalogue portals, covering variety catalogue management, EGS demand forecasting (SeedPulse concept), and regulatory data integration.
Machine data flow design for FMIS validation, OSNMA/HAS integration, ISOXML, and agricultural data governance. DMP v2.0 lead contributor. Cross-institutional consortium.
AI and digital innovation contributor to the LEM4AG-AURA Horizon Europe Research and Innovation Action, co-led with INESC TEC. Focuses on AI for agricultural value chain transformation.