Scholar
Dino Sejdinovic
Google Scholar ID: v8Dg1lIAAAAJ
Professor of Statistical Machine Learning, Adelaide University
Citations & Impact
Citations
5,798
H-index
31
i10-index
71
Publications
20
Co-authors
89
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Fellow of ELLIS Society, affiliated with the Machine Learning for Earth and Climate Sciences Program; Member of the Machine Learning & Global Health Network.
Research Experience
- Currently a Professor at the School of Computer and Mathematical Sciences, University of Adelaide; Co-lead of the Responsible AI Research Centre (RAIR) at Australian Institute for Machine Learning (AIML); Member of the Steering Committee of the Adelaide Data Science Centre (ADSC); Visiting Professor at Nanyang Technological University's College of Computing and Data Science since 2025; Visiting Professor at The Institute of Statistical Mathematics, Tokyo, since 2024. Formerly an Associate Professor in the Department of Statistics, University of Oxford, Fellow of Mansfield College, and Faculty Fellow at The Alan Turing Institute.
Background
- Professor of Statistical Machine Learning; Research interests include robust and trustworthy machine learning, causal inference, uncertainty quantification, and large-scale nonparametric and kernel methods.
