Tom Kenter is a Staff Research Scientist at Google DeepMind with a decade of experience advancing text-to-speech and natural language understanding research. He has progressed from PhD work in NLU at the University of Amsterdam to research roles and internships at Google, focusing on bridging linguistic insight with high-fidelity speech synthesis. His background spans applied NLP in industry—building conversational components for Booking.com—and foundational work on machine reading and RNN-based QA. Based in Amsterdam, he blends computational linguistics and software engineering, with a track record of building language tools and parsing systems dating back to academic and research programming roles. Tom’s work is notable for integrating linguistic rigor (historic and modern language tools) into scalable ML-driven speech systems, revealing a curiosity for language variation and robust real-world deployment. He brings both deep academic training and hands-on product experience to productionizing cutting-edge TTS and NLU research.
10 years of coding experience
14 years of employment as a software developer
Master's, Computer Linguistics, Master's, Computer Linguistics at University of Amsterdam
Propedeuse, Dutch Language and Literature, Propedeuse, Dutch Language and Literature at VU University
Propedeuse, Computer science, Propedeuse, Computer science at University of Leiden
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Tom Kenter - Staff Research Scientist at Google DeepMind