Hassan Doosti

Hassan Doosti is a Senior Lecturer at the School of Mathematical and Physical Sciences, Macquarie University. His research focuses on statistical methodologies, particularly in flexible modeling techniques for complex datasets, with applications in medical studies and business analytics. He has authored or edited books such as Flexible Nonparametric Curve Estimation and Ethics in Statistics: Opportunities and Challenges.

Research Interests

• Nonparametric estimation including wavelet methods and density estimation
• Statistical modeling of health-related data (e.g., colorectal cancer, stroke)
• Development of novel statistical algorithms (e.g., censored regression, numerical dependency analysis)
• Ethical considerations in data analysis for medical sciences

Recent Projects

• Outside Studies Program (2025)
• APRIntern: Disease Risk Modelling (2019)

Key Contributions

His work bridges theoretical statistics with practical applications, including:

• Development of adaptive wavelet quantile density estimation techniques
• Statistical analysis of neurological and oncological data
• Advancing methods for handling censored and zero-inflated datasets

Awards

Recipient of the Faculty of Science and Engineering Award for Inter-School Collaboration (2023) for collaborative research excellence.

Professional Activities

Editor of multiple peer-reviewed books and active contributor to interdisciplinary projects involving healthcare, data science, and biostatistics.