Matthew Roddy is a Principal Machine Learning Scientist based in Dublin with 11 years of experience developing speech technologies and production-ready ML systems. He holds a PhD from Trinity College Dublin where he pioneered multimodal deep learning models for conversational turn-taking, blending ML, audio-visual signal processing, NLP and social science insights. At Verint and previously at Cogito, he has translated research-grade dialogue models into applied solutions for real-world speech systems. A regular reviewer and first-author conference contributor (ACL, Interspeech, ICMI, Eusipco), he balances rigorous publication credentials with hands-on engineering execution. Unusually for an applied scientist, his background in music technology and arts-informed perspective informs his approach to prosody and multimodal signal design.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.), Music, Bachelor of Arts (B.A.), Music at Trinity College, Dublin
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Trinity College Dublin
Master of Engineering (M.Eng.), Electrical Engineering, Master of Engineering (M.Eng.), Electrical Engineering at Dublin City University
Master of Science (MSc), Music Technology, Master of Science (MSc), Music Technology at University of Limerick
Contributions:5 PRs, 38 pushes, 1 branch in 6 years 8 months
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