معرفی
Dr. Gery Geenens is a Senior Lecturer in the School of Mathematics & Statistics at UNSW Sydney, specializing in nonparametric and semiparametric statistical methods. He holds a PhD in Sciences (Statistics) from Université catholique de Louvain (Belgium, 2008) and joined UNSW in 2009 after postdoctoral work at the University of Melbourne under Professor Peter Hall.
His research focuses on developing flexible nonparametric models for statistical analysis, with particular expertise in copula modeling, functional data analysis, and high-dimensional density estimation. Key contributions include:
- Nonparametric copula-based conditional density estimation
- Wavelet-based multivariate density estimation with shape preservation
- Applications in sports analytics (e.g., football/soccer outcome modeling)
- Solutions to the "Curse of Dimensionality" in functional regression
Recent publications demonstrate strong activity in dependence modeling and theoretical foundations of nonparametric statistics, with significant work on Sklar's theorem and Hellinger correlation. His research bridges theoretical advances with practical applications in finance, hydrology, and sports analytics.
As Director of Postgraduate Studies (Coursework) and Associate Editor of "Statistics and Probability Letters", he actively contributes to academic service. His teaching portfolio includes core statistics courses for engineering and advanced probability.
Current research is supported by UNSW Faculty Research Grants (2014-2016) and prior Early Career Research Grants (2010-2013). He co-supervises PhD candidates including Carlos Aya Moreno on wavelet-based density estimation.
