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Viktor Zouboulis

computational immunologist

Medical student and researcher at the Centre for Human Genetics, University of Oxford — using knowledge graphs, machine learning, and patient data to understand inborn errors of immunity and inflammatory disease.

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papers

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projects

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    Knowledge graphs & ML for immune disease classification

    Using knowledge graphs, machine learning, and patient data to uncover patterns in complex biomedical datasets and improve understanding and classification of inborn errors of immunity and inflammatory diseases such as IBD.

  • pinned · building in stealth

    longIBD

    Longitudinal work on inflammatory bowel disease — connecting clinical phenotypes, immune mechanisms, and computational approaches to better understand disease course and classification, with a particular focus on anti–IL-10 IBD. Includes biomarker trajectories, patient-reported outcomes, and related longitudinal measures.

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    Virtual Cell Challenge 2026

    Student research group building models for the Virtual Cell Challenge — designing virtual cells, backed by a Studentische Forschungsgruppen Grant from Exzellenzuniversität Hamburg.

  • pinned · building in stealth

    nanoCITE

    Developing Nanopore sequencing pipelines and computational tools designed to bridge research and clinical practice — making data-driven insights more directly actionable in patient care.

people

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writing

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    From single cells to a model of IBD

    A short note on our npj Systems Biology and Applications paper linking longitudinal single-cell data to deterministic modelling of inflammatory bowel disease.