My research spans a number of topics in deep learning. I am interested in open problems such as how to effectively learn with less labeled data, and how to build human-centred AI systems. I am interested in methodologies such as generative modelling, graph representation learning and sequential decision making. I also pursue applied projects that leverage computer vision to mitigate biodiversity loss.
- ENGG*6500: Introduction to Machine Learning
- UNIV*6080: Computational Thinking for Artificial Intelligence
- ENGG*3130: Modelling Complex Systems
- ENGG*4450: Large-Scale Software Architecture Engineering