Rafael Oliveira is a post-doctoral research fellow with the School of Computer Science, the University of Sydney, Australia. He is currently working for the Centre for Translational Data Science (CTDS) under the supervision of Prof. Sally Cripps. He is also part of the ARC training centre in Data Analytics for Resources and Environments (DARE).
Rafael received his PhD from the University of Sydney in 2019, where he studied under the supervision of Prof. Fabio Ramos. Rafael also holds a Bachelor degree in Electronics and Computer Engineering from the Federal University of Rio de Janeiro (UFRJ), Brazil.
Rafael’s current research focuses on developing machine learning algorithms for problems stemming from planning under uncertainty and Bayesian inference. In particular, he has been working with Bayesian optimisation, Gaussian processes, approximate inference and Markov chain Monte Carlo methods. In terms of applications, his work has been addressing problems in robotics and geoscience. More detailed information is available at the publications page.