# PyData Paris 2025 > 30 verified speakers from this event's public agenda. - Location: Paris, France - Date: 2025-09-30 - Event site: https://pydata.org/paris2025 - Agenda we sourced from: https://pretalx.com/pydata-paris-2025/schedule/ - Organizer: QuantStack ## Verified speakers - [Luc-Aurélien Gauthier](https://speakerstrail.com/speakers/luc-aurelien-gauthier) — "Unlock the full predictive power of your multi-table data" Source: https://pretalx.com/pydata-paris-2025/talk/H9X8TG/ - [Alexis Bondu](https://speakerstrail.com/speakers/alexis-bondu) — "Unlock the full predictive power of your multi-table data" Source: https://pretalx.com/pydata-paris-2025/talk/H9X8TG/ - [Paul Girard](https://speakerstrail.com/speakers/paul-girard) — "ActiveTigger: A Collaborative Text Annotation Research Tool for Computational Social Sciences" Source: https://pretalx.com/pydata-paris-2025/talk/ZHNCF7/ - [Emilien Schultz](https://speakerstrail.com/speakers/emilien-schultz) — "ActiveTigger: A Collaborative Text Annotation Research Tool for Computational Social Sciences" Source: https://pretalx.com/pydata-paris-2025/talk/ZHNCF7/ - [Julien Boelaert](https://speakerstrail.com/speakers/julien-boelaert) — "ActiveTigger: A Collaborative Text Annotation Research Tool for Computational Social Sciences" Source: https://pretalx.com/pydata-paris-2025/talk/ZHNCF7/ - [Jeremy Tuloup](https://speakerstrail.com/speakers/jeremy-tuloup) — "Browser-based AI workflows in Jupyter" Source: https://pretalx.com/pydata-paris-2025/talk/7CNUUD/ - [Nicolas Brichet](https://speakerstrail.com/speakers/nicolas-brichet) — "Browser-based AI workflows in Jupyter" Source: https://pretalx.com/pydata-paris-2025/talk/7CNUUD/ - [Théo Gnassounou](https://speakerstrail.com/speakers/theo-gnassounou) — "Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation" Source: https://pretalx.com/pydata-paris-2025/talk/MEPTCE/ - [Antoine Collas](https://speakerstrail.com/speakers/antoine-collas) — "Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation" Source: https://pretalx.com/pydata-paris-2025/talk/MEPTCE/ - [Anita Graser](https://speakerstrail.com/speakers/anita-graser) — "Building Data Science Tools for Sustainable Transformation" Source: https://pretalx.com/pydata-paris-2025/talk/BEJFAF/ - [Justine Bel-Letoile](https://speakerstrail.com/speakers/justine-bel-letoile) — "Balancing Privacy and Utility: Efficient PII Detection and Replacement in Textual Data" Source: https://pretalx.com/pydata-paris-2025/talk/REP9HJ/ - [Elizaveta Clouet](https://speakerstrail.com/speakers/elizaveta-clouet) — "Balancing Privacy and Utility: Efficient PII Detection and Replacement in Textual Data" Source: https://pretalx.com/pydata-paris-2025/talk/REP9HJ/ - [Alexandre Abraham](https://speakerstrail.com/speakers/alexandre-abraham) — "Move beyond academia: Introducing an industry-first tabular benchmark" Source: https://pretalx.com/pydata-paris-2025/talk/7PUXWN/ - [Louis Le Dain](https://speakerstrail.com/speakers/louis-le-dain) — "Move beyond academia: Introducing an industry-first tabular benchmark" Source: https://pretalx.com/pydata-paris-2025/talk/7PUXWN/ - [Olivier Grisel](https://speakerstrail.com/speakers/olivier-grisel) — "Probabilistic regression models: let's compare different modeling strategies and discuss how to evaluate them" Source: https://pretalx.com/pydata-paris-2025/talk/DVMZBT/ - [Nour El Mawass](https://speakerstrail.com/speakers/nour-el-mawass) — "Documents Meet LLMs: Tales from the Trenches" Source: https://pretalx.com/pydata-paris-2025/talk/HDUJN7/ - [Miklos Erdelyi](https://speakerstrail.com/speakers/miklos-erdelyi) — "Documents Meet LLMs: Tales from the Trenches" Source: https://pretalx.com/pydata-paris-2025/talk/HDUJN7/ - [Valeria Zuccoli](https://speakerstrail.com/speakers/valeria-zuccoli) — "Repetita Non Iuvant: Why Generative AI Models Cannot Feed Themselves" Source: https://pretalx.com/pydata-paris-2025/talk/EWV9VW/ - [Meilame Tayebjee](https://speakerstrail.com/speakers/meilame-tayebjee) — "torchFastText: Modernizing Text Classification at Insee with PyTorch-based models" Source: https://pretalx.com/pydata-paris-2025/talk/AHPZN9/ - [Cédric Couralet](https://speakerstrail.com/speakers/cedric-couralet) — "torchFastText: Modernizing Text Classification at Insee with PyTorch-based models" Source: https://pretalx.com/pydata-paris-2025/talk/AHPZN9/ - [Pietro Piccini](https://speakerstrail.com/speakers/pietro-piccini) — "Architecting Scalable Multi-Modal Video Search" Source: https://pretalx.com/pydata-paris-2025/talk/HVEWT9/ - [Sebastiano Milardo](https://speakerstrail.com/speakers/sebastiano-milardo) — "Architecting Scalable Multi-Modal Video Search" Source: https://pretalx.com/pydata-paris-2025/talk/HVEWT9/ - [Romain Clement](https://speakerstrail.com/speakers/romain-clement) — "Machine Learning in the Browser: Fast Iteration with ONNX & WebAssembly" Source: https://pretalx.com/pydata-paris-2025/talk/RDNCNL/ - [Sanjiban Sengupta](https://speakerstrail.com/speakers/sanjiban-sengupta) — "Advancements in optimizing ML Inference at CERN" Source: https://pretalx.com/pydata-paris-2025/talk/BZGUZN/ - [Lex Avstreikh](https://speakerstrail.com/speakers/lex-avstreikh) — "Building Resilient (ML) Pipelines for MLOps" Source: https://pretalx.com/pydata-paris-2025/talk/VCKD9X/ - [Guillaume Lemaitre](https://speakerstrail.com/speakers/guillaume-lemaitre) — "Skrub: machine learning for dataframes" Source: https://pretalx.com/pydata-paris-2025/talk/T9KTPU/ - [Jérôme Dockès](https://speakerstrail.com/speakers/jerome-dockes) — "Skrub: machine learning for dataframes" Source: https://pretalx.com/pydata-paris-2025/talk/T9KTPU/ - [Riccardo Cappuzzo](https://speakerstrail.com/speakers/riccardo-cappuzzo) — "Skrub: machine learning for dataframes" Source: https://pretalx.com/pydata-paris-2025/talk/T9KTPU/ - [Simeon Carstens](https://speakerstrail.com/speakers/simeon-carstens) — "CodeCommons: Towards transparent, richer and sustainable datasets for code generation model training" Source: https://pretalx.com/pydata-paris-2025/talk/CRJUFY/ - [Rania Talbi](https://speakerstrail.com/speakers/rania-talbi) — "CodeCommons: Towards transparent, richer and sustainable datasets for code generation model training" Source: https://pretalx.com/pydata-paris-2025/talk/CRJUFY/ JSON: https://speakerstrail.com/api/v1/events/pydata-paris-2025 --- Machine-readable index: [/llms.txt](https://speakerstrail.com/llms.txt) · API spec: [/openapi.json](https://speakerstrail.com/openapi.json) · API docs: [/docs/api](https://speakerstrail.com/docs/api) · Sitemap: [/sitemap-index.xml](https://speakerstrail.com/sitemap-index.xml)