معرفی
Ali Shariati is a statistician and Research Fellow at the School of Mathematics and Statistics, UNSW Sydney. His expertise centers on developing statistical methodologies for medical research and epidemiology, with a focus on Survival Analysis, Stochastic Processes, and Nonparametric Statistics. He earned a PhD in Statistics from Macquarie University (Australia), an MRes in Statistics from Macquarie, and advanced degrees in Mathematical Statistics and Statistics from Iranian institutions.
Education:
- PhD in Statistics, Macquarie University (Thesis: Nonparametric Inference from Censored Prevalent Cohort Data)
- MRes in Statistics, Macquarie University
- MSc in Mathematical Statistics, Ferdowsi University of Mashhad
- BSc in Statistics, University of Birjand
Research Interests:
Ali’s work addresses complex data challenges in medical and epidemiological studies. He develops methods for Survival Analysis (e.g., empirical processes under selection bias), Stochastic Point Processes (e.g., Hawkes Processes with incomplete data), and Empirical Likelihood frameworks. His approach integrates statistical computing to solve real-world problems in prevalent cohort studies and interdisciplinary applications.
Awards:
- 2024 Excellence Award for Teaching (UNSW)
- Academic Excellence Commendation (Macquarie University PhD)
Labs/Teams: No specific lab/team affiliation explicitly mentioned in text.
