Summary
Yvette Graham is an Associate Professor in Artificial Intelligence at Trinity College Dublin with over 11 years of experience in natural language processing, machine translation and statistical NLP. She leads the Digital Content Transformation strand at the ADAPT SFI research centre, combining academic leadership with hands-on research in ML, data analytics and language technologies. Her background spans lecturing and research roles across Dublin City University, University of Melbourne and Trinity, reflecting deep expertise in R, Python, Java and Linux-based research engineering. Yvette’s work bridges theoretical NLP and practical systems—she has driven evaluation and deployment of machine translation models and contributes to multidisciplinary projects in assistive technologies and digital content transformation. Notably, she pairs a strong computational linguistics foundation (MSc, PhD) with long-standing teaching experience in structured problem solving through Java, enabling both rigorous research and effective student mentorship.
11 years of coding experience
18 years of employment as a software developer
MSc, Computational Linguistics, MSc, Computational Linguistics at Trinity College Dublin
Irish Leaving Certificate, German, French, Physics, Applied Maths, Irish Leaving Certificate, German, French, Physics, Applied Maths at Portmarnock Community School
PhD, Computing, PhD, Computing at Dublin City University
German, French, Irish, Spanish, English