Sotabase

Career

· Senior Research Scientist, Google DeepMind2023–
· Senior Research Scientist, Google DeepMind2022–
· Head of Research, Google Research Australia2022–2023
· Professor, UC Berkeley, Department of Electrical Engineering and Computer Sciences and Department of Statistics2020–
· Associate Director, Simons Institute for the Theory of Computing2017–2022
· Research Director for Machine Learning at the Simons Institute for the Theory of Computing, UC Berkeley2017–
· Professor in Mathematical Sciences and Australian Laureate Fellow, Queensland University of Technology2011–2017
· Professor of Statistics and Computer Science, UC Berkeley2003–
· Miller Institute Visiting Research Professor, UC Berkeley2001–
· Fellow, Senior Fellow, and Professor, Australian National University1993–2003
· Fellow, Senior Fellow, and Professor in the Research School of Information Sciences and Engineering (Australian National University), UC Berkeley1993–
· Ph.D., Electrical Engineering, University of Queensland1992–
· Professor, Berkeley AI Research Lab (BAIR)
· Fellow of the IMS, ACM, and Australian Academy of Science, UC Berkeley
· Professor in Mathematical Sciences (Queensland University of Technology), UC Berkeley
· Professor in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics, UC Berkeley
· Visiting Professor, University of Paris
· Honorary Professor, University of Queensland

Publications (485)

3,081
cited
Neural Computation · 2000
2,951
cited
Learning the Kernel Matrix with Semidefinite Programming
Journal of machine learning research · 2002
2,579
cited
International Conference on Machine Learning · 2018
1,950
cited
Neural Information Processing Systems · 2017
1,353
cited
Advances in Large Margin Classifiers
2000
1,068
cited
Boosting Algorithms as Gradient Descent
Neural Information Processing Systems · 1999
957
cited
Proceedings of the National Academy of Sciences of the United States of America · 2019
868
cited
Journal of Artificial Intelligence Research · 2001
818
cited
IEEE Transactions on Information Theory · 1998
651
cited
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Journal of machine learning research · 2001
535
cited
Journal of machine learning research · 2008
533
cited
Sparse Greedy Gaussian Process Regression
Neural Information Processing Systems · 2000
438
cited
Sotabase