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Adriana Tomic

Marie Curie Fellow, University of Oxford

About Adriana Tomic

Marie Curie Fellow in systems immunology, applying machine learning to understand how vaccines work, specifically focused on human immunology and data-driven research. Co-developer of SIMON, an open source platform for the application of machine learning to biological and clinical data.

Areas of Expertise

Research

Subject Areas

Biological sciences Medicine & clinical sciences Multidisciplinary

Intro Content

Contributor Scientific Data

Unifying clinical data to reveal influenza imprint on immune system

Every exposure leaves an imprint on our immune system. Application of machine learning can identify unique imprints of pathogens or vaccines. In this blog, we share our approach to unify data acquired from individuals undergoing influenza vaccination and to generate the FluPRINT database.

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