I’m a lecturer in Machine Learning at the School of Computing, Australian National University since July 2022. Before that, I was a lecturer at the University of Sydney from 2018 to 2022 and spent two years (2019-2020) at Uber AI. I completed my doctoral training at the Cambridge Machine Learning group, supervised by Richard Turner and advised by Carl Rasmussen.
My current research interests include probabilistic modelling and inference, Monte Carlo and approximate inference methods, distributed, active and continual learning, and model-based reinforcement learning.
I am looking for PhD and MPhil students, and a postdoctoral fellow. Please see more here
Activities & Awards
Please visit my personal homepage at thangbui.github.io/