PyData Paris 2025 — the speakers, verified
Paris, France · September 2025 · organized by QuantStack
30 speakers below were extracted from the event's public agenda, and PyData Paris 2025 publishes its own site.
Who spoke, and about what
- Luc-Aurélien Gauthier
- Unlock the full predictive power of your multi-table data source
- Alexis Bondu
- Unlock the full predictive power of your multi-table data source
- Paul Girard
- ActiveTigger: A Collaborative Text Annotation Research Tool for Computational Social Sciences source
- Emilien Schultz
- ActiveTigger: A Collaborative Text Annotation Research Tool for Computational Social Sciences source
- Julien Boelaert
- ActiveTigger: A Collaborative Text Annotation Research Tool for Computational Social Sciences source
- Jeremy Tuloup
- Browser-based AI workflows in Jupyter source
- Nicolas Brichet
- Browser-based AI workflows in Jupyter source
- Théo Gnassounou
- Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation source
- Antoine Collas
- Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation source
- Anita Graser
- Building Data Science Tools for Sustainable Transformation source
- Justine Bel-Letoile
- Balancing Privacy and Utility: Efficient PII Detection and Replacement in Textual Data source
- Elizaveta Clouet
- Balancing Privacy and Utility: Efficient PII Detection and Replacement in Textual Data source
- Alexandre Abraham
- Move beyond academia: Introducing an industry-first tabular benchmark source
- Louis Le Dain
- Move beyond academia: Introducing an industry-first tabular benchmark source
- Olivier Grisel — Olivier is an Open Source Fellow at probabl and a core contributor to the scikit-learn machine learning library.
- Probabilistic regression models: let's compare different modeling strategies and discuss how to evaluate them source
- Nour El Mawass — Nour leads the Generative AI technical group at Modus Create. She has a PhD in Machine Learning. and has worked on Machi
- Documents Meet LLMs: Tales from the Trenches source
- Miklos Erdelyi
- Documents Meet LLMs: Tales from the Trenches source
- Valeria Zuccoli
- Repetita Non Iuvant: Why Generative AI Models Cannot Feed Themselves source
- Meilame Tayebjee
- torchFastText: Modernizing Text Classification at Insee with PyTorch-based models source
- Cédric Couralet
- torchFastText: Modernizing Text Classification at Insee with PyTorch-based models source
- Pietro Piccini
- Architecting Scalable Multi-Modal Video Search source
- Sebastiano Milardo
- Architecting Scalable Multi-Modal Video Search source
- Romain Clement
- Machine Learning in the Browser: Fast Iteration with ONNX & WebAssembly source
- Sanjiban Sengupta
- Advancements in optimizing ML Inference at CERN source
- Lex Avstreikh
- Building Resilient (ML) Pipelines for MLOps source
- Guillaume Lemaitre — I have a PhD in computer science and have been a scikit-learn and imbalanced-learn core developer since 2017. I am curre
- Skrub: machine learning for dataframes source
- Jérôme Dockès
- Skrub: machine learning for dataframes source
- Riccardo Cappuzzo
- Skrub: machine learning for dataframes source
- Simeon Carstens
- CodeCommons: Towards transparent, richer and sustainable datasets for code generation model training source
- Rania Talbi
- CodeCommons: Towards transparent, richer and sustainable datasets for code generation model training source
Questions about PyData Paris 2025
- Who spoke at PyData Paris 2025?
- 30 speakers we hold a record for, listed below with the session each one gave. The list comes from the conference's own published agenda, so it is who actually appeared rather than who applied or who paid.
- When and where was PyData Paris 2025?
- September 2025, in Paris, run by QuantStack. The agenda it was taken from is linked at the top of this page.
- Are the talk titles real?
- 30 of the 30 records carry the session title exactly as the agenda printed it, so every one below is quoted.
- Can I contact these speakers?
- Not through us. We hold no contact details and no fees. Each entry links to the agenda page it came from, and that is the route.
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What this year's speakers work on:
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