معرفی
Dr. Shirin Moghaddam is an Associate Professor and Lecturer in Statistics and Data Science at the University of Limerick, within the Department of Mathematics and Statistics. She is also an active member of the Limerick Digital Cancer Research Centre and the Mathematics Applications Consortium for Science and Industry (MACSI). Her work bridges advanced statistical methodologies with real-world medical applications, particularly in oncology and neurodegenerative disease research.
Education:
- BSc in Statistics – University of Tehran
- MSc in Mathematical Statistics – University of Tehran
- PhD in Statistics – University of Galway (NUIG)
Research Focus: Dr. Moghaddam's research centers on survival analysis, Bayesian modeling, and machine learning, with a strong emphasis on translational cancer research. She develops predictive models for time-to-event outcomes in prostate cancer and other diseases, integrating genomic and clinical data to improve diagnostic and prognostic accuracy. Her work often involves interdisciplinary collaboration, combining statistics with bioinformatics, clinical oncology, and molecular biology.
Scientific Contributions & Trends: Her recent publications reflect a consistent trajectory in applying advanced statistical techniques—especially Bayesian imputation and machine learning—to high-dimensional biomedical data. A recurring theme is the use of mRNA and protein biomarkers to enhance prediction of survival outcomes in prostate cancer patients, both pre- and post-operatively. Her 2024 and 2023 papers in PLoS ONE and Cancers highlight this focus, while her 2023 Molecular Neurobiology paper extends similar methodologies to Parkinson’s disease biomarkers.
Leadership & Service:
- Chair, Young Statisticians Section – Irish Statistical Association (2023–present)
- Member – Cancer Trials Ireland
Collaborations & Networks: Dr. Moghaddam collaborates extensively within Ireland and internationally, contributing to national cancer research initiatives and statistical modeling consortia. Her affiliations with MACSI and the Limerick Digital Cancer Research Centre position her at the intersection of applied mathematics, data science, and clinical research.
