Very happy and proud that Matthieu Najm won a best poster award 🏅 at the "Molecular Analysis for Precision Oncology" Congress, in the Artificial Intelligence section, for his excellent work on designing a Semantic Knowledge Graph to integrate highly heterogeneous information and perform mechanistic analysis on it.
If you are interested, our tool set is open-source and ready to help you on various use-cases: 🔗 https://github.com/oncodash
Very proud to say that our two Master interns of this year did an awesome job. To the point that they won the "André Blanc-Lapierre Île-de-France" prize, from the SEE (one of the oldest academic societies in France). This is well-deserved 🏆
They even participated to scientific publications 📝
For more information, see:
- 🦀 "High-level Biomedical Data Integration in a Semantic Knowledge Graph with OncodashKB for finding Personalized Actionable Drugs in Ovarian Cancer" — https://lnkd.in/eqiSNF7g and
- 🧮 "Reproducible Mapping of Tabular Data into Semantic Knowledge Graphs with OntoWeaver and BioCypher" — https://lnkd.in/evPU_th5
@OpenSci_Pasteur
#science #KnowledgeGraph #semantics #OntoWeaver #OncodashKB #Oncodash #OpenScience
#HelloESR I'm a Senior/Expert Research Engineer in #Bioinformatics. I've been working as a researcher in hybrid #AI #Algorithmics (i.e. #metaheuristic optimization) for 20 years, but I'm now interested in engineering Semantic Knowledge Graphs stuff into Decision Support Systems & #ExplainableAI #XAI.
I compute Biomedicine against #Cancer at Institut Pasteur.
I'm the #ParadisEO (an optim framework), #Oncodash (tumor board #DSS), and #OntoWeaver (easy creation of #SKG on top of #BioCypher) maintainer.
Johann Dr.EO