Dino Sejdinovic is a Professor of Statistical Machine Learning at the School of Computer and Mathematical Sciences, University of Adelaide, affiliated with the Australian Institute for Machine Learning (AIML). He was previously a Lecturer and an Associate Professor at the Department of Statistics, University of Oxford (2014-2022), a Fellow of Mansfield College, Oxford, and a Turing Faculty Fellow of the Alan Turing Institute. He held postdoctoral positions at the Gatsby Computational Neuroscience Unit, University College London (2011-2014) and at the Institute for Statistical Science, University of Bristol (2009-2011). He received a PhD in Electrical and Electronic Engineering from the University of Bristol (2009) and a Diplom in Mathematics and Theoretical Computer Science from the University of Sarajevo (2006). His research spans a wide variety of topics at the interface between machine learning and statistical methodology, including large-scale nonparametric and kernel methods, robust and trustworthy machine learning, causal inference, and uncertainty quantification.