معرفی
Amir Jalali is an Associate Professor of Biostatistics at the School of Medicine, University of Limerick. He specializes in applying Statistical Modelling and Machine Learning to cancer research, focusing on developing risk prediction models for clinical decision-making. He has contributed to tools like the DynNom R package to enhance statistical communication in biomedical contexts.
- PhD in Biostatistics, National University of Ireland, Galway
- MSc. in Mathematical Statistics, University of Tehran
- BSc in Statistics, University of Tehran
His research spans Biostatistics, Machine Learning, and Cancer Research, with recent work on capacity assessment in medical practice, genomic analysis of tumors, and health communication strategies. Key trends include applications in clinical decision-making, network meta-analysis, and patient engagement via visual tools.
Amir has co-authored studies on P53 genetic markers in leiomyosarcoma (2024), capacity assessment frameworks (2024), and systematic reviews on carotid artery stenosis (2023). His work integrates Biostatistics, Genetics, and Health Policy, aligning with UN Sustainable Development Goals for health equity.
He actively collaborates with institutions like the Limerick Digital Cancer Research Centre and serves as secretary of the Young Statisticians Section of the Irish Statistical Association. Amir mentors PhD students and engages in interdisciplinary projects bridging biostatistics, oncology, and public health.
