Dr Drovandi is currently an Australian Research Council Future Fellow, conducting cutting-edge research on scalable and robust Bayesian methods for implicit statistical models.  In 2020, he was the recipient of an Australian Research Council Discovery Project grant on novel sequential Monte Carlo methods. From 2016-2019, he was an ​Australian Research Council Discovery Early Career Researcher Award (DECRA) Fellow. His DECRA Fellowship was highly productive, generating 30 publications predominantly on new methods for likelihood-free Bayesian inference.
Dr Drovandi's research interests include:
  • Statistical inference for models with expensive or intractable likelihoods
  • Computational Bayesian statistics
  • Monte Carlo methods such as Markov chain Monte Carlo and Sequential Monte Carlo
  • Optimal Bayesian experimental design
  • ​The translation of Bayesian statistics in applied disciplines

For more information, see Professor Drovandi on Google Scholar.