Ali Shariati is a statistician at the School of Mathematics and Statistics. His expertise lies in developing statistical methodologies for inference on real-world phenomena, with a focus on medical research and epidemiology. His research spans Survival Analysis, Stochastic Processes, Point Processes, Nonparametric Statistics and Empirical Likelihood.

Ali’s work focuses on developing statistical methods for complex and challenging data scenarios. In Survival Analysis, he investigates functionals of empirical processes, particularly in data subject to selection bias and informative censoring which has significant applications in Prevalent Cohort studies. Additionally, he is working on statistical inference for Stochastic Point Processes, specifically Hawkes Processes, under incomplete data settings, with applications across various disciplines. His work often incorporates Statistics Computing.

Ali earned a Ph.D. in Statistics from Macquarie University, with his thesis titled Nonparametric Inference from Censored Prevalent Cohort Data with an Application to Survival with Dementia. Part of his PhD research was conducted at McGill University, in Canada, under the supervision of Prof. Masoud Asgharian.