Vincent Emonet
ProjectsAbout meSkillsContact
CVvemonetvincent-emonet0000-0002-1501-1082

Knowledge graph developer working with Semantic Web standards (RDF, SPARQL, OWL ontologies, SHACL, RML), life sciences data, and web technologies.

๐Ÿ“š๏ธ Publications

Google ScholarHALdblp

๐Ÿ—‚๏ธ Latest projects

๐Ÿ’  Shapes of You
Python
TypeScript

Web service indexing standard knowledge representations, such as OWL ontologies, or SHACL shapes, from public git repositories, alongside with generating metadata for active SPARQL endpoints.

โ™ป๏ธ FAIR enough
Python
TypeScript

An ecosystem with a python library and a web service to define, publish, and execute extensible evaluations of resources online, in order to assess their compliance to the FAIR principles (Findable Accessible Interoperable Reusable).

โœจ RDFLib endpoint
Python

A python library to deploy SPARQL endpoints from RDFLib Graphs to serve RDF files, or expose machine learning models, and any other logic implemented in Python, through SPARQL functions.

๐Ÿ”ฌ Knowledge Collaboratory
Python
TypeScript

An ecosystem to publish and retrieve scientific claims as Nanopublications using Translator standards, such as the BioLink model and the Translator Reasoner API.

๐Ÿ”ฎ Translator OpenPredict
Python

An API to serve drug-disease predictions models, and expose the predictions using standards developed for the NIH NCATS Biomedical Data Translator project.

๐Ÿ”ญ Data Science Research Infrastructure
Docker
Kubernetes

A Kubernetes/OpenShift cluster for academic researchers to deploy Data Science workspaces and services, such as JupyterHub, RStudio, or VisualStudio Code server.

๐Ÿ’ฌ 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 the Bio2RDF 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.

๐Ÿ› ๏ธ 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

React

3/5

Material UI

3/5

HTML/CSS

3/5

ShEx

3/5

RML

3/5

Protรฉgรฉ

3/5

Pydantic

3/5

Jupyter

3/5

Java

3/5

Talend ETL

3/5

Node.js

2/5

Express.js

2/5

Next.js

2/5

AngularJS

2/5

Ruby on Rails

2/5

RDF4J

2/5

Kubernetes

2/5

OpenShift

2/5

MongoDB

2/5

SQL

2/5

ElasticSearch

2/5

GraphQL

2/5

Pandas

2/5

Gatsby

2/5

MacOS

1/5

Rust

1/5

๐Ÿ“ฌ๏ธ Contact me

vincent.emonet@gmail.com

ยฉ 2023 Vincent Emonet