Dr Roman Marchant
University of Sydney
Dr Marchant completed a PhD at the School of Information Technologies, University of Sydney in 2015. His current research at the Centre for Translational Data Science explores applying data science to the social sciences, currently focusing on predicting crime and understanding criminal behaviour.
His area of expertise is Sequential Bayesian Optimisation (SBO), which is a novel probabilistic method for finding the optimal sequence of decisions that maximise a long-term reward. Although SBO has been readily applied to robotics and environmental monitoring, it can be applied to any optimisation problem.