Semantic Entity Mapping
Connect disparate semantic spaces by aligning the same real-world entities across different identifier schemes, data models, and ontologies—so your data becomes interoperable end-to-end.
Independent Consultant — Semantic Engineering · Ontologies · Knowledge Graphs · Evidence-Driven Curation
Knowledge Engineering Grounded in Evidence
Every claim in a knowledge graph should trace back to evidence. Every mapping should carry its provenance. I help research organisations, non-profits, and mission-driven teams working with biomedical and environmental data build systems where experts grow their understanding of their own domain.
What I Do
Consulting in semantic technologies, ontology development, knowledge graph infrastructure, and data community governance.
Evidence-Driven Curation
Collaborative workflows that combine rigorous evidence documentation with domain expertise and modern automation — so your knowledge systems are trustworthy and maintainable.
Ontology & Knowledge Graph Engineering
Design, build, and sustain ontologies and knowledge graphs with reproducible infrastructure, full provenance, and FAIR compliance.
Community Building & Data Governance
Build self-sustaining communities around shared data missions — with governance structures, shared infrastructure, and training that outlast any single engagement.
Case Studies
Projects I've contributed to in semantic engineering and knowledge management.
Evidence-Driven Curation
Mondo: Evidence-Driven Disease Curation at Scale
How automated extraction, rigorous evidence documentation, and community collaboration maintain a unified disease ontology used worldwide.
Read case studyApplied Knowledge Engineering
Every Cure: Drug Repurposing Powered by Knowledge Graphs
Embedding with a non-profit's data team to design the disease list powering drug repurposing predictions, and advancing open science practices for mission-critical data assets.
Read case studyCommunity Building & Governance
OBO Foundry: Building a Self-Sustaining Data Community
How 150+ independent ontology teams became a coordinated community with shared governance, infrastructure, and training — a model now replicated in other domains.
Read case studyStandards & Tooling
SSSOM Mapping Standard
Creating a community standard for sharing semantic mappings that has been adopted across open science communities.
Read case studyHow I Work
Every decision documented
Full provenance on every mapping and ontology change — so your team can maintain it without me.
Experts grow, not just their tools
Automation handles the tedious parts. The real goal is building your team's understanding of their own domain.
Evidence before architecture
I start with your actual questions and the evidence that matters. The data model follows from what you need to know.
Open by default
Where possible, I build things that give back. Your work benefits from shared tooling; the community benefits from yours.
Where I Think the Field Needs to Go
These are the missions I want to apply my skills to. If you're working on any of these, I'd like to talk.
Evidence-First Knowledge Systems
Structured, symbolic data is how humans encode intentions without ambiguity. I'm passionate about building knowledge systems grounded in strong evidence modelling, provenance tracking, and community deliberation—where claims are backed by transparent, auditable records.
Agentic Knowledge Graph Construction
AI agents that assemble knowledge graphs from concrete evidence records, not hallucinated triples. Combining the scalability of LLMs with the rigour of structured evidence to build graphs you can actually trust.
Environmental Data Integration
Large-scale efforts that link environmental and climate datasets to support catastrophe prevention. I'm especially interested in helping global organisations build governance structures that integrate local communities and connect their data in meaningful, lasting ways.
Strengthening Human Mental Models
Agentic systems that help humans grow, not just their tools. Projects specifically targeted at building understanding—making domain experts more capable, not more dependent on automation.
Drug Repurposing & Rare Disease
The rare disease space is where rigorous data integration has the most direct human impact. I want to keep working on drug repurposing, diagnosis support, and disease data integration—building on my recent experience contributing to Every Cure's MATRIX platform.
Citizen Science & Community Ontologies
Supporting citizen science communities—like building ontologies for iNaturalist enthusiasts—where passionate amateurs and domain structure meet to create something greater than the sum of its parts.
Have a project in mind?
I'd like to hear about it.