Bio.

Hello! I am an assistant professor in the Department of Data Science and Artificial Intelligence of Monash, and an affiliated lecturer of University of Cambridge. Prior to joining Monash, I was an associate lecturer at the Department of Electrical and Electronic Engineering of UCL, and before that a postdoc in the Language Technology Lab at University of Cambridge.

Research Areas.

• Deep generative models (e.g., generation and representation learning)
• Multi-lingual or unlabelled data utilisation (e.g., semi or unsupervised learning)
• Bayesian learning and inference (e.g., applications in training with small data)
• Privacy and interpretability in representation learning and model prediction
• Utilising biomedical knowledge graphs (e.g., graph-based generation, entity linking)

Future Students.

I am looking for self-motivated strong Ph.D and MSc applications for 2022 from outstanding candidates with academic backgrounds in Applied Linguistics, Computer Science, Mathematics or related fields, and a keen interest in doing basic research in NLP and ML. Before applying, you will need to put together a research proposal. I do not offer individual support for this. It is a process to assess whether you can write about a research area in a sensible way and pose interesting questions. It is not a commitment to what you will work on during your PhD. Most often PhD topics crystallise over the first year.