My research involves applying neurosymbolic AI to argumentation, in order to make it more effective and safer. The use of structured knowledge representations, such as argumentation frameworks, in conjunction with neural models, such as large language models, combines the flexibility of the latter with the interperability of the former.
My research interests include computational argumentation, ML, NLP and explainable AI. I chose the STAI CDT because of the great institutions and academics involved, as well as the opportunity to be part of an inspiring cohort of like minded people.
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Masters Qualifications:
- MSc Computer Science
- MRes AI and Machine Learning
Undergraduate Qualification: BSc Philosophy and Economics
