Trustworthy AI
Methods for robustness, interpretability, and uncertainty-aware learning.
School of Computer Science and Engineering · UNSW Sydney
Chris Wang is an academic and researcher at UNSW focusing on trustworthy AI, data-centric machine learning, and real-world impact through interdisciplinary collaboration.
Chris works with students, industry partners, and public institutions to build reliable AI systems. His work at UNSW bridges theory and deployment, with emphasis on transparent modeling, evaluation under distribution shift, and responsible adoption.
Methods for robustness, interpretability, and uncertainty-aware learning.
Improving dataset quality, annotation consistency, and model generalization.
Applying AI in health, education, and public decision support.
COMP9417
Machine Learning and Data Mining
COMP9444
Neural Networks and Deep Learning
COMP9414
Artificial Intelligence
Research Supervision
Honours, MSc, and PhD students
Reach out for collaboration, student supervision, or invited talks.