My research is in the intersection of machine learning and language, and I have a particular interest in language generation — tasks that require machine learning models to produce language, e.g. summarisation and story generation — and unsupervised learning — learning where supervision signal is not available.
Prior to joining the University of Melbourne, I spent over 3.5 years as an industry scientist at IBM Research, developing solutions for clients in application domains from education to government. Parallel to this, I was active in research and collaborated with universities around the world, and in recognition of my scientific achievements I was awarded a research accomplishment prize by IBM in 2019.
- I’m presenting a talk on “Creativity, Machine and Poetry” at a public forum on language.
- I’m recruiting PhD students. If you’re interested in language generation, please contact me.
- I’m presenting our rumour detection paper at NAACL2019.
- Our Shakespearean sonnet generator was covered by New Scientist, Times UK, Daily Mail, and others. More information can be found here.