Vincent Dutordoir
Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolVincent Dutordoir is a research scientist at Google DeepMind’s AI for Science team in London with nine years of experience applying probabilistic machine learning and statistics to real-world logistics, finance and scientific problems. He holds a PhD in Engineering from the University of Cambridge and advanced degrees from Ghent University and National Taiwan University, blending deep theoretical training with applied ML. Prior roles at Secondmind saw him progress from researcher to senior machine learning researcher, delivering probabilistic solutions for decision-critical systems. His DeepMind internship focused on in-context learning with diffusion models, hinting at a strong interest in generative approaches to meta-learning. Colleagues would describe him as a methodical researcher who bridges rigorous academic methods and product-focused engineering.
9 years of coding experience
6 years of employment as a software developer
Master in Computer Science Engineering Computer Science and Information Engineering, Master in Computer Science Engineering Computer Science and Information Engineering at National Taiwan UniversityDoctor of Philosophy - PhD Engineering, Doctor of Philosophy - PhD Engineering at University of CambridgeMaster's degree Computer Science, Master's degree Computer Science at Ghent UniversityMathematics, Mathematics at Don Bosco Zwijnaarde
English, French, Dutch
Stackoverflow
276reputation
5kreached
9answers
0questions
Github Skills (66)
python10
deep-learning10
gpflow10
rex10
ml10
stochastic-processes10
neural-network10
deep-reinforcement-learning10
q-learning10
variational-inference10
data-science10
gaussian-processes10
geometric10
information-theory10
bayesian10
Programming languages (6)
Github contributions (5)
GPflow/docs
Feb 2020 - Aug 2020
GPflow documentation
Contributions:2 reviews, 56 commits, 6 PRs in 6 months
gpflowworkflow
secondmind-labs/GPflux
Jul 2018 - Jul 2022
Contributions:10 releases, 51 reviews, 105 commits in 4 years
gpflowdeep-learningmachine-learningkeras-tensorflowgps
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