Dr Raziyeh Mohammadi
Research Fellow
ORCID 0000-0002-5226-1734
Raziyeh is a Research Fellow at the Academic Unit for Ageing and Stroke Research (ASR). Her current research focuses on the project Optimising transient ischaemic attack (TIA) pathways to reduce ethnicity-based inequalities.
Raziyeh obtained her PhD in Statistics from Isfahan University of Technology, Iran, in 2021. Before joining ASR, Raziyeh worked for two years as a Research Fellow at Duke-NUS Medical School, National University of Singapore, where she applied machine learning methods to develop risk prediction models for neurodegenerative diseases such as Parkinson’s disease. She also has expertise in longitudinal data analysis, Bayesian inference, and semiparametric regression methods.
Recent Publications
Liu, Z., Mohammadi, R., Saffari, S., Tallie Chua, W., M, N., Siddiqui, F., & Ong, M. (2025). Critical revisits after discharge from the emergency department. International Journal of Emergency Medicine, 18(41). https://doi.org/10.1186/s12245-025-00847-x
Mohammadi, R., Shirazi, M., Sadat-Madani, S. F., Yeo Cheng Long, M. Z., Singh, C. L., Tan, J. Y., Deng, X., Hashemi Fard, S. M., Ng, S. Y. E., Ng, A. S. L., Tan, L. C. S., & Saffari, S. E. (2025). Common SNCA genetic variants and Parkinson’s disease risk: A systematic review and meta-analysis. International Journal of Molecular Sciences, 26(13), 6001. https://doi.org/10.3390/ijms26136001
Tan, Y. J., Mohammadi, R., Saffari, S. E., Tan, N. I., Lim, L. S. S., Low, S. H. L., Tan, L. C. S., Chiew, H. J., Ng, K. P., Hameed, S., Ting, S. K. S., & Ng, A. S. L. (2025). Evaluating the real-world performance of plasma pTau217 and pTau181 in a Southeast Asian tertiary memory clinic. medRxiv. https://doi.org/10.1101/2025.05.22.25328192
Mohammadi, R., Ng, S., Tan, J., Ng, A., Deng, X., Choi, X., … Saffari, S. (2024). Machine learning for early detection of cognitive decline in Parkinson’s disease using multimodal biomarker and clinical data. Biomedicines, 12(12). https://doi.org/10.3390/biomedicines12122758
Mohammadi, R., & Kazemi, I. (2025). Robustifying longitudinal data analysis with a novel multivariate Huber distribution. Statistical Analysis and Data Mining, 18(1). https://doi.org/10.1002/sam.70011
Saffari, S., Soo, S., Mohammadi, R., Ng, K., Greene, W., & Kandiah, N. (2024). Modelling the distribution of cognitive outcomes for early-stage neurocognitive disorders: A model comparison approach. Biomedicines, 12(393). https://doi.org/10.3390/biomedicines12020393
Mohammadi, R., & Goodarzi-Khoigani, M. (2022). Association between socioeconomic status and homeostasis model assessment-insulin resistance index and mediating variables at the first trimester of pregnancy. Iranian Journal of Nursing and Midwifery Research. https://pubmed.ncbi.nlm.nih.gov/35419260/
Goodarzi-Khoigani, M., & Mohammadi, R. (2019). The effect of nutrition education on gestational weight gain based on the Pender’s Health Promotion Model: A randomized clinical trial study (in Persian). Journal of Isfahan Medical School, 37(552), 1272–1279. https://www.sid.ir/en/journal/ViewPaper.aspx?ID=780479
Mansourian, M., & Mohammadi, R. (2017). Comprehensive maternal characteristics associated with birth weight: Bayesian modelling in a prospective cohort study from Iran. Journal of Research in Medical Sciences. https://pubmed.ncbi.nlm.nih.gov/29026423/