adlane Rebai
@adlanerebai
Smart data expert specializing in ontologies and knowledge graphs for biotech manufacturing.
What I'm looking for
I’m an innovative Smart Data Expert with over 5 years of experience in ontology development, knowledge graph implementation, and data semantics. My focus is turning complex biotech drug manufacturing data into trustworthy, machine-usable knowledge—so teams can move faster with clear meaning and context.
At Merck KGaA, I lead the development of next-generation data management processes integrated into biotech drug manufacturing. I’ve built a smart data and modeling environment within the Digital Innovation team—defining and implementing smart data tools, developing global bioprocess models, and delivering comprehensive documentation that preserves context for downstream applications.
I also champion Semantic Web technologies and open standards (W3C open standards such as RDF and OWL), including the development of a comprehensive bioprocessing ontology to enhance description quality. Beyond internal delivery, I collaborate with international consortia like Biophorum and NIIMBL—driving ontology extension across end-to-end processes, implementing a knowledge graph architecture with benchmarks, and building a semantic layer for knowledge graph management (including integration with systems such as Virtuoso, PostgreSQL, and InfluxDB). I’m motivated by adoption challenges, and I bring that energy through speaking engagements (e.g., IOF summit) and contributions to open-source bioprocessing ontology efforts.
Experience
Work history, roles, and key accomplishments
Smart Data Expert
Merck KGaA
Sep 2019 - Present (6 years 9 months)
Led the development of next-generation smart data and data-management processes for biotech drug manufacturing within Merck’s Digital Innovation team, integrating tools and global bioprocess models. Built a comprehensive bioprocessing ontology and implemented a knowledge graph using W3C standards (RDF/OWL), partnering with international consortia to extend end-to-end ontology coverage.
Education
Degrees, certifications, and relevant coursework
ENSIMAG / GEM
Engineering Degree, Big Data
Completed an Engineering Degree in Big Data at ENSIMAG / GEM in 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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