Dr Thang Bui
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About
Thang Bui is a lecturer (equivalent to tenure-track Assistant Professor) in Machine Learning at the School of Computing, Australian National University since July 2022. Before that, he was a lecturer at the University of Sydney from 2018 to 2022 and spent two years (2019-2020) at Uber AI. He completed his doctoral training at the Cambridge Machine Learning group, supervised by Richard Turner and advised by Carl Rasmussen.
His current research interests include probabilistic modelling and inference, Monte Carlo and approximate inference methods, distributed, active and continual leaning, and model-based reinforcement learning.
More info here: https://thangbui.github.io/
Affiliations
Research interests
I have broad interests in machine learning and its applications to real-world sequential decision making. My current research focuses on probabilistic approaches to machine learning (modelling and inference) and using these in various learning settings (continual, active, federated and model-based reinforcement learning).