BIO

Arinbjörn Kolbeinsson is an honorary research associate in the Department of Epidemiology and Biostatistics and a visiting scholar at the University of Virginia.

His work focuses on developing machine learning methods that learn from high-dimensional biomedical data including genetic, brain MRI and hospital diagnosis data for personalised health outcome prediction.

Recent research activities include an interpretable deep learning system that learns a biomarker from brain structure that associates with both lifestyle factors, risk factors and diseases. In another a novel prediction model for polygenic scores.

Arinbjörn completed his PhD in 2021 at Imperial College London, advised by Professor Ioanna Tzoulaki, Dr Sarah Filippi, Dr Yannis Panagakis and Professor Paul Elliott.

During his PhD, Arinbjörn completed a research internship at Samsung AI and developed tensor methods for improved robustness of deep learning methods in collaboration with Dr Jean Kossaifi and Professor Anima Anandkumar at Nvidia/Caltech.

ACADEMIC POSITIONS

  • Honorary research associate
    Imperial College London, London, United Kingdom1 Jan 2022 - present

FACULTY

  • Faculty of Medicine

POSITION NAME

  • Honorary Research Associate

FIELDS OF RESEARCH