Adrien Coulet is a researcher with 11 years of experience at the intersection of data science, knowledge representation, and biomedical informatics, currently co-leading HeKA, a digital healthcare research group at Inria in collaboration with Inserm, Université Paris Cité and AP‑HP. He applies data-driven and knowledge-guided methods to knowledge discovery and predictive modelling, with a focus on explaining drug response variability from healthcare data. His background spans academia and translational research, including postdoctoral work at Stanford School of Medicine and a decade teaching data engineering and knowledge-based systems. Known for bridging symbolic knowledge representation and practical predictive modeling, he brings both methodological rigor and clinical-data sensibility to collaborative projects.
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