Gustaf Hällströmin katu 2b,
My research interests lie in natural language processing (NLP), computational creativity and music processing/cognition.
Digital Language Typology
Producing a platform to assess the structurally manifested family relationships within a set of languages with large digital textual and speech material. We focus in particular on low-resourced Uralic languages.
Building a demonstration of a future news ecosystem, using automatic data analysis and natural language generation.
Jan–Feb 2017, I am running a study group for students and researchers on Natural Language Generation for News Automation. More details...
From 2013 to 2016, I worked on the What-If Machine (WHIM) EU FP7 project with Stephen Clark. It concerned building a computational model of creativity, constructing a system that automatically produces ideas that may serve as the basis for cultural artefacts. More...
I completed my PhD at the University of Edinburgh with Mark Steedman in 2013. The project concerned the application of NLP techniques to music processing. We developed a grammar to model the structure of tonal harmony and used statistical parsing for automatic harmonic analysis. More...
I did a masters in Informatics at Edinburgh and an undergraduate degree in Computer Science at Cambridge University.
In 2008-9, I worked for Mercurytide.