Vincent 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.
10 years of coding experience
9 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 University
Doctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at University of Cambridge
Master's degree, Computer Science, Master's degree, Computer Science at Ghent University
Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax
Contributions:3 reviews, 27 commits, 13 PRs in 9 months
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