I am investigating how the usage of sarcasm in natural language varies across cultures. Using insight from linguistics and anthropology, I build computational models that learn to detect, generate and interpret sarcasm. I work with terabytes of data collected from social media platforms to train and test my models.
I am a (Catholic) Christian. I am co-organising a discussion group on faith and science at the University of Edinburgh. I am very interested in fitness and sports nutrition, I play the piano, sing and ride horses.
- Computational sarcasm detection, generation and interpretation
- Knowledge representation and computational semantics
- Research ethics and data privacy
- Deep language modelling
- Christian theology
I was a researcher at the National Institute for Standards and Technology in the USA. I worked on extending the core of LaTeXML – a TeX parser written in Perl, which produces XML-based, content-oriented marked-up documents. My contribution was providing an extensible graphics library, to allow the conversion of TeX graphics to SVG. This paper expands on the topic.
I did an internship at the German Research Centre for Artificial Intelligence, where I extended LaTeXML with modules for parsing documents from the arXiv corpus.