Valentin Liévin
Old Toronto, Ontario, Canada
Summary
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SeniorValentin Liévin is a Senior Research Scientist with a PhD and 11 years of experience at the intersection of large language models, information retrieval, and medical applications. He has led research and engineering efforts at DeepMind and Google to augment LLMs with search capabilities and improve LLM performance for healthcare and science. Valentin built retrieval-augmented systems and released the VodLM framework for training such models, and has developed faithfulness evaluation frameworks for LLM summaries. His academic work in deep generative models and variational inference underpins practical contributions in medical QA, NER, and deep retrievers for clinical retrieval. Comfortable moving between research and production, he combines rigorous probabilistic modelling with hands-on system delivery across startups and large labs. Based in Toronto, he brings a rare blend of theoretical depth and product-oriented engineering focused on trustworthy, retrieval-augmented NLP.
11 years of coding experience
Github Skills (64)
pytorch10
artificial-intelligence10
python10
variational-autoencoder10
machine-learning10
weighted10
gradient10
variance10
bounds10
deep-learning10
speech10
ai10
compression10
data-science9
datasets9
Programming languages (6)
Github contributions (5)
vlievin/vlievin.github.io
May 2016 - Mar 2025
Contributions:101 pushes, 1 branch in 8 years 11 months
DeepLearningDTU/02456-deep-learning-with-PyTorch
Sep 2019 - Sep 2022
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
Contributions:22 commits, 6 PRs, 13 pushes in 3 years
deep-learningpytorch
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