Knowledge graph developer working with Semantic Web standards (RDF, SPARQL, OWL ontologies, SHACL, RML), life sciences data, and web technologies.
📚️ Publications
🗂️ Latest projects
💬 About me
The aim of my work is to build data ecosystems that will enable scientific researchers to make new discoveries. Recently I developed the Data Science Research Infrastructure, an OpenShift cluster for academic researchers, and Data2Services, a framework to generate services from structured data using a semantically meaningful data model. I also built a RDF knowledge graph that integrates data from biomedical and clinical data sources, was involved in the Knowledge Graph Standardization effort of the NIH NCATS Translator project, and contributed to advancing the BioLink model. All these activities have been aimed at building an infrastructure for computationally-assisted exploration of knowledge and innovative research hypotheses.
I first realized the data access challenges faced by researchers and medical practitioners while I worked on theBio2RDF project at Quebec University. I have since dedicated my work to building biomedical and clinical data resources and ensuring users' access to them. I am a strong advocate of Open Source and commit myself to write comprehensible documentation and build easily accessible and reusable software. In my activities, I emphasize improving existing standards to address data interoperability and reproducibility and empowering researchers to improve their scientific practice.
🛠️ Skills
The displayed scores are obviously subjective, please refer to my CV for a better account of how those skills were used.
Python
4/5
RDF
4/5
SPARQL
4/5
Ontologies
4/5
SHACL
4/5
Bash
4/5
Linux
4/5
Docker
4/5
Git
4/5
OpenAPI
4/5
FastAPI
4/5
RDFLib
4/5
TypeScript
3/5
JavaScript
3/5
Next.js
3/5
React
3/5
Material UI
3/5
HTML/CSS
3/5
ShEx
3/5
RML
3/5
Protégé
3/5
Pydantic
3/5
Java
3/5
Talend ETL
3/5
Rust
2/5
Web components
2/5
Node.js
2/5
Express.js
2/5
AngularJS
2/5
Ruby on Rails
2/5
RDF4J
2/5
Kubernetes
2/5
OpenShift
2/5
Vector databases
2/5
MongoDB
2/5
SQL
2/5
ElasticSearch
2/5
GraphQL
2/5
Pandas
2/5
Gatsby
2/5
Svelte
1/5
📬️ Contact me
vincent.emonet@gmail.com