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Hanlin Shang is a professor known for his work in functional data analysis, nonparametric and semiparametric statistics, Bayesian econometrics, and computational statistics. His research often focuses on demographic forecasting and utilizes vast amounts of data to drive insights. Hanlin has held several editorial roles, including serving on the editorial boards of prominent journals such as the Australian New Zealand Journal of Statistics and the Journal of Computational and Graphical Statistics. He has received numerous honors and awards during his career, highlighting his significant contributions to the field, including the ARC Future Fellowship in 2024 and the Mollie Holman Doctoral Medal from Monash University in 2010. In addition, he has supervised various doctoral candidates, contributing significantly to the academic community. Hanlin's collaborative projects and output have continuously advanced statistical methodologies and applied research in demographics and forecasting. He is affiliated with Macquarie University in Australia and has participated in various international scholarly activities.
Macquarie University • Sydney, NSW, Australia
Hanlin Shang has been a professor at Macquarie University, contributing to research and education in statistics.
Applied to Department of Business (MBA Program).