Amir is a lecturer in Biostatistics at the School of Medicine, Faculty of Education & Health Services. His primary research interests are in Statistical Modelling, Machine Learning, Survival Analysis and their application in improving healthcare quality and outcomes, primarily in cancer research. He is passionate about enhancing the translation of statistical findings in biomedical research for the benefit of society and healthcare. His speciality is developing predictive models as tools to support clinical decision-making for individual prognosis and diagnosis purposes. He currently collaborates on a variety of cancer studies, including the prediction of risk of prostate cancer and modelling breast cancer survival outcomes. 

Amir is a member of the Limerick Digital Cancer Research Centre (LDCRC) and is actively involved in young statistical societies in Ireland (Young Statisticians’ Section of the Irish Statistical Association), and internationally (Young Statisticians Europe). 


Jalali, A., Miresse, D., Fahey, M. R., Ni Mhaonaigh, N., McGuire, A., Bourke, E., ... & Brown, J. A. (2022). Peripheral Blood Cell Ratios as Prognostic Indicators in a Neoadjuvant Chemotherapy-Treated Breast Cancer Cohort. Current Oncology, 29(10), 7512-7523. 


Jalali, A., Kitching, M., ... & Murphy, T. B. Watson, R. W., (2021). Integrating inflammatory serum biomarkers into a risk calculator for prostate cancer detection. Scientific Reports, 11(1), 1-8. 


Moghaddam, S., Jalali, A., ... & Murphy, T. B., Watson, R. W., (2021). Integrating Serum Biomarkers into Prediction Models for Biochemical Recurrence following Radical Prostatectomy. Cancers, 13(16), 4162. 


Jalali, A., Foley, R. W., ... & Murphy, T. B. Watson, R. W., (2020). A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort. BMC Medical Informatics and Decision Making, 20(1), 1-11. 


Jalali, A., Alvarez-Iglesias, A., Roshan, D., & Newell, J., (2019). Visualising statistical models using dynamic nomograms. PloS one, 14(11), e0225253.