Antoine Bosselut
Research Scientist at EPFL
Lausanne, Vaud, Switzerland
Summary
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SeniorAntoine Bosselut is an assistant professor at EPFL with 11 years of experience researching natural language processing, knowledge representation, and machine learning. He builds NLP systems that model and reason about world knowledge, bridging symbolic knowledge graphs and learning-based approaches. His academic journey—from a B.Eng. in Electrical Engineering at McGill to an MS and PhD in Computer Science at the University of Washington—supports a blend of rigorous theory and practical algorithm design. Prior roles at Stanford SNAP, StanfordNLP, Allen Institute, and UW NLP inform a collaborative, interdisciplinary approach to research and engineering. Antoine maintains an active research profile and shares work and resources on his lab site, reflecting a commitment to reproducible, impactful AI.
11 years of coding experience
Github Skills (19)
named-entity-recognition10
knowledge-graph10
text-generation9
machine-translation9
machine-learning9
sap9
natural-language-processing9
ranking8
science7
react7
computer-science6
python5
nlp4
hugo3
hugo-theme3
Programming languages (5)
Github contributions (5)
atcbosselut/portfolio-covariance-estimation
Jan 2015 - Jul 2017
Contributions:7 commits, 6 pushes, 1 branch in 2 years 6 months
atcbosselut/scs-baselines
Aug 2018 - Feb 2021
Baseline models for the paper: "Modeling Naive Psychology of Characters in Simple Commonsense Stories" by Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight and Yejin Choi
Contributions:17 commits, 2 PRs, 9 pushes in 2 years 6 months
sap
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