Howard has been in the School of Mathematics and Statistics at the University of Melbourne since 2018. He is a current ARC Future Fellow (2020-2024) and Co-Director of the Melbourne Centre for Data Science. He received his Ph.D. in Statistics from Rutgers University in 2005 and immediately commenced his academic career in the Department of Statistics at North Carolina State University. He was elected Fellow of the American Statistical Association in 2017. His current research interests include model selection, robust estimation, regularisation, Bayesian methods, and all aspects of modelling and handling uncertainty in statistical and machine learning approaches.