
About
Howard Bondell is a Professor of Statistical Data Science at the School of Mathematics and Statistics, University of Melbourne, since 2018. He serves as Head of School since 2021, Co-Director of the Melbourne Centre for Data Science, and holds an ARC Future Fellowship (2020-2024).
- Ph.D. in Statistics, Rutgers University (2005)
- Academic Career: North Carolina State University (2005-2018)
His research focuses on model selection, robust estimation, regularisation, Bayesian methods, and uncertainty quantification in statistical and machine learning. His publications emphasize applications in regression analysis, quantile modeling, variable selection for high-dimensional data, and genetic data analysis.
Scientific awards include:
- Fellow of the American Statistical Association (2017)
- ARC Future Fellow (2020-2024)
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