Summary
Tongliang Liu is a visiting associate professor and director of the Trustworthy Machine Learning Lab with eight years of experience advancing trustworthy AI through both academic leadership and hands-on research. Based in the Greater Sydney Area, he holds a PhD in machine learning and directs the Sydney AI Centre while holding visiting appointments at MBZUAI and RIKEN, reflecting a strong international research footprint. His roles as ARC DARE investigator and multiple academic appointments showcase a track record of translating rigorous theory into impactful, trustworthy ML systems. Beyond publications, he leads a lab focused on practical robustness and reliability in AI, bridging foundational research and real-world deployment. An electrical engineering undergraduate by training, he brings a systems-oriented perspective to machine learning problems that often yields pragmatic, deployable solutions.
8 years of coding experience
Doctor of Philosophy (Ph.D.), Machine learning, Doctor of Philosophy (Ph.D.), Machine learning at University of Technology, Sydney
Bachelor of Engineering (B.E.), EE, Bachelor of Engineering (B.E.), EE at University of Science and Technology of China