Tongliang Liu is currently a Lecturer and director of the Trustworthy Machine Learning Lab with School of Computer Science at the University of Sydney. He is broadly interested in the fields of trustworthy machine learning and its interdisciplinary applications, with a particular emphasis on learning with noisy labels, transfer learning, adversarial learning, unsupervised learning, and statistical deep learning theory. He has published papers on various top conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ECCV, KDD, IJCAI, AAAI, IEEE TPAMI, IEEE TNNLS, IEEE TIP, and IEEE TMM. He received the ICME 2019 best paper award. He is a recipient of Discovery Early Career Researcher Award (DECRA) from Australian Research Council (ARC); the Cardiovascular Initiative Catalyst Award by the Cardiovascular Initiative; and was named in the Early Achievers Leadboard of Engineering and Computer Science by The Australian in 2020.