Christopher Parisien
Senior Manager, Applied Research at NVIDIA
Old Toronto, Ontario, Canada
Summary
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Rockstar🎓
Top SchoolChristopher Parisien is a senior research leader specializing in applied deep learning and natural language processing, currently managing applied research teams at NVIDIA. With a PhD in Computational Linguistics and over a decade of experience bridging cognitive modeling and production ML, he has led NLP systems from academic probabilistic models of language acquisition to clinical information extraction and multilingual virtual assistants. He moved from hands-on roles (Senior DL Applied Scientist) to research management and now senior management, consistently translating research into product-ready solutions for challenging, real-world text and speech domains. Christopher’s background uniquely blends rigorous unsupervised and Bayesian modeling with pragmatic engineering—helpful when messy, sparse corpora must power reliable features in production. Based in Old Toronto, he pairs scientific curiosity about language structure with a track record of shipping robust ML systems in both startup (CTO) and industry (NVIDIA, Nuance) settings.
6 years of coding experience
15 years of employment as a software developer
BMath, Computer Science, Cognitive Science, BMath, Computer Science, Cognitive Science at University of Waterloo - St. Jerome's UniversityMSc, Computational Linguistics, MSc, Computational Linguistics at University of Toronto
Github Skills (25)
speaker-diarization10
speech-to-text10
machine-translation10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
deep-learning10
generative-ai10
speaker-recognition10
asr10
natural-language-processing10
conversational-ai10
speech-recognition10
Programming languages (3)
Github contributions (5)
nvidia-riva/websocket-bridge
Jul 2020 - Mar 2021
Websockets <-> Riva proxy service. Audiocodes compatible.
Contributions:37 commits in 8 months
websocketsproxyrivawebsocketservice-proxy
NVIDIA/NeMo-Guardrails
Apr 2023 - Mar 2025
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Contributions:1 release, 54 reviews, 6 PRs in 1 year 11 months
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