Amir is an Associate Professor of Biostatistics at the School of Medicine, University of Limerick. His research focuses on the application of statistical modelling and machine learning in cancer research, with particular interests in risk prediction, longitudinal modelling and the development of methods that support clinical decision-making.

He is particularly interested in making complex statistical models and their findings easier to understand and apply in biomedical and clinical research. He has developed statistical tools, including the DynNom R package, to support the interpretation and communication of individualised prognostic and diagnostic models.

Beyond his research, he is active in the statistical and biomedical research communities. He serves on the editorial board of Scientific Reports and is a member of the Irish Statistical Association (ISA), having previously contributed to Young Statisticians Europe and the Young Statisticians’ Section of the ISA. He also reviews for scientific journals and research and PhD funding calls, and has contributed to the organisation of national and international statistics conferences.

He has also contributed to equality, diversity and institutional development at the University of Limerick as a member of Athena Swan data working groups that supported successful Bronze and Silver Award applications.