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adlane Rebai

@adlanerebai

Smart data expert specializing in ontologies and knowledge graphs for biotech manufacturing.

France
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What I'm looking for

I’m looking for a role where I can build ontology-driven smart-data and knowledge-graph systems in biotech, lead cross-functional delivery, collaborate with international teams, and apply W3C standards to real manufacturing workflows.

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

Merck KGaA logoMK
Current

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

EG

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

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