Thang Bui

Thang Bui is a Lecturer in Machine Learning at the ANU School of Computing since July 2022. He previously lectured at the University of Sydney and worked at Uber AI, completing his PhD with the Cambridge Machine Learning group. His research focuses on probabilistic modelling, inference methods, and various forms of learning and reinforcement learning. He is actively recruiting PhD, MPhil, and postdoctoral students.

Senior Lecturer CADAN, DADAN, MADAN, GCDE Convener

Research interests: probabilistic modelling and inference, Monte Carlo and approximate inference methods, distributed, active and continual learning, model-based reinforcement learning

Thang D Bui is a Senior Lecturer at the Australian National University, specializing in Machine Learning, Bayesian Statistics, and Artificial Intelligence. His research focuses on developing probabilistic methods for machine learning, particularly in the areas of variational inference, Gaussian processes, and continual learning. He has published extensively on topics such as variational continual learning, Bayesian neural networks, and Gaussian process approximations. His work also explores the application of machine learning in scientific domains, including astronomy and natural language processing. Bui's research emphasizes scalable and reliable methods for uncertainty quantification and model generalization.