Sebastian Riedel
Research Scientist at DeepMind
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSebastian Riedel is a research scientist and professor with 15 years of experience at the intersection of NLP, machine learning, and probabilistic programming, currently working at DeepMind and UCL. He specializes in extracting relational structure from raw text and simplifying system design for that purpose, with deep expertise in inference, relational learning, Markov logic, semantic role labeling, and event extraction. His work blends theoretical rigor from a PhD in Artificial Intelligence with practical software engineering and integer programming techniques to build deployable information-extraction systems. Based in London, he is notable for bridging academic research and industrial-scale ML, translating complex probabilistic models into usable pipelines. An implicit throughline of his career is a focus on making structured prediction and relational inference more accessible and efficient for real-world applications.
16 years of coding experience
MSc., Informatics, MSc., Informatics at The University of EdinburghAbitur, Abitur at Albert-Schweitzer-GymnasiumDipl. Ing., Computer Science and Engineering, Dipl. Ing., Computer Science and Engineering at Hamburg University of Technology
German, English, Japanese
Github Skills (49)
jack10
reader10
jupyter10
acl10
regularization10
deep-learning10
tensorflow10
question-answering10
natural-language-processing10
jupyter-notebook10
notebook9
ipython9
bayesian9
svg9
scala8
Programming languages (8)
Github contributions (5)
uclnlp/egal
Dec 2016 - Nov 2017
easy drawing in jupyter
Contributions:8 releases, 98 commits, 90 pushes in 10 months
jupytersvg
uclnlp/stat-nlp-book-scala
Mar 2015 - Dec 2016
Interactive book on Statistical NLP
Contributions:268 commits, 99 pushes, 1 branch in 1 year 8 months
natural-language-processing
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