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Keynote speakers in Paris, verified

62 international keynote speakers who demonstrably spoke at one of 2 tech events in Paris, France — most recently on stage first, every talk linked to the public agenda that proves the appearance.

The conference scene in Paris

Paris arrives in this dataset through PyData Paris 2025, held at the Cité des Sciences et de l'Industrie from 30 September to 2 October. QuantStack organises it, and PyData events run under NumFOCUS, the non-profit behind much of the scientific Python stack.

It draws maintainers more than professional speakers. The 2025 programme included people working on SciPy, scikit-learn, Jupyter, Apache Arrow, SymPy and mamba, which is why this list leans toward data engineering and machine-learning tooling rather than the topics a keynote circuit tends to produce.

Sources: About PyData Paris 2025 , PyData Paris 2025 call for proposals

Most recently on stage in Paris

  1. Luca Baggi September 2026 AI ethics, AI infrastructure, AI research, Computer vision, Generative AI, LLM, Machine learning, NLP, Responsible AI
  2. Marco Gorelli June 2026 Data engineering
  3. Gabriele Orlandi April 2026 AI research, Computer vision, Generative AI, LLM, NLP
  4. Alexandre Abraham October 2025 AI research, Machine learning
  5. Anita Graser October 2025 AI industry applications, Generative AI
  6. Cédric Couralet October 2025 Machine learning, NLP
  7. Elizaveta Clouet October 2025 NLP, Responsible AI
  8. Guillaume Lemaitre October 2025 AI industry applications, AI infrastructure, Data engineering, LLM, Machine learning 2 talks here
  9. Jérôme Dockès October 2025 Data engineering, Machine learning
  10. Justine Bel-Letoile October 2025 NLP, Responsible AI
  11. Lex Avstreikh October 2025 AI infrastructure, Data engineering, LLM, MLOps
  12. Louis Le Dain October 2025 AI research, Machine learning
  13. Meilame Tayebjee October 2025 Machine learning, NLP
  14. Miklos Erdelyi October 2025 LLM, NLP
  15. Nour El Mawass October 2025 LLM, MLOps, NLP 2 talks here
  16. Olivier Grisel October 2025 AI industry applications, AI research, Machine learning 2 talks here
  17. Pietro Piccini October 2025 AI infrastructure, Computer vision
  18. Rania Talbi October 2025 AI research, Generative AI
  19. Riccardo Cappuzzo October 2025 Data engineering, Machine learning
  20. Romain Clement October 2025 AI infrastructure, Machine learning
  21. Sanjiban Sengupta October 2025 AI infrastructure, AI research, Machine learning
  22. Sebastiano Milardo October 2025 AI infrastructure, Computer vision
  23. Simeon Carstens October 2025 AI research, Generative AI
  24. Valeria Zuccoli October 2025 AI research, Generative AI, LLM
  25. Alexis Bondu September 2025 Data engineering, Machine learning
  26. Antoine Collas September 2025 AI research, Machine learning
  27. Emilien Schultz September 2025 AI research, NLP
  28. Jeremy Tuloup September 2025 AI infrastructure, Generative AI
  29. Julien Boelaert September 2025 AI research, NLP
  30. Luc-Aurélien Gauthier September 2025 Data engineering, Machine learning
  31. Nicolas Brichet September 2025 AI infrastructure, Generative AI
  32. Paul Girard September 2025 AI research, NLP
  33. Théo Gnassounou September 2025 AI research, Machine learning
  34. Alexandre Carton September 2024 MLOps
  35. Alix Tiran-Cappello September 2024 MLOps
  36. Alyssa Wright September 2024 AI industry applications, Responsible AI
  37. Andro Sabashvili September 2024 Machine learning
  38. Benedikt Heidrich September 2024 Computer vision, Generative AI, LLM, Machine learning
  39. Benoît Courty September 2024 AI industry applications, AI infrastructure
  40. Devpriya Dave September 2024 AI industry applications, Responsible AI
  41. Francesc Martí Escofet September 2024 Data engineering
  42. Franz Kiraly September 2024 Computer vision, Generative AI, LLM, Machine learning
  43. Guillaume Desforges September 2024 AI industry applications, Computer vision
  44. Kevin Klein September 2024 Data engineering
  45. Louis Lacombe September 2024 Computer vision, Machine learning
  46. Luis Blanche September 2024 AI industry applications, AI infrastructure
  47. Max Halford September 2024 Data engineering
  48. Noé Achache September 2024 LLM, Responsible AI
  49. Pierre Raybaut September 2024 AI industry applications, Computer vision
  50. Sophia Yang September 2024 AI product, LLM
  51. Stefanie Senger September 2024 AI infrastructure, Data engineering, Machine learning
  52. Thibault Cordier September 2024 Computer vision, Machine learning
  53. Valentin Laurent September 2024 Computer vision, Machine learning
  54. Alonso Silva September 2024 LLM
  55. Cérès Carton September 2024 LLM, NLP
  56. David Brochart September 2024 AI product
  57. Joris Van den Bossche September 2024 Data engineering
  58. Justine BEL-LETOILE September 2024 LLM, NLP
  59. Maria Knorps September 2024 LLM, MLOps
  60. Nicolas Guenon des Mesnards September 2024 Generative AI, LLM, NLP
  61. Patrick Hoefler September 2024 Data engineering
  62. Serge « sans » Paille September 2024 Data engineering

The 2 conferences behind this list

  • PyData Paris 2025 — September 2025, Paris , run by QuantStack. 30 of the speakers on this page came from its agenda.

  • PyData Paris 2024 — September 2024, Paris , run by PyData Paris / NumFOCUS. 35 of the speakers on this page came from its agenda.

PyData Paris 2025

Paris, France · September 2025 · 30 speakers

PyData Paris 2024

Paris, France · September 2024 · 35 speakers

  • Marco Gorelli — Senior Software Engineer at Quansight Labs
  • Olivier Grisel — Olivier is an Open Source Fellow at probabl and a core contributor to the scikit-learn machine learning library.
    • “Keynote: Handling predictive uncertainty in Machine Learning”·PyData Paris 2024·source · pretalx.com
  • 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
    • “Evaluating the evaluator: RAG eval libraries under the loop”·PyData Paris 2024·source · pretalx.com
  • 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
  • Luca Baggi — ML Engineer @xtream
    • “Foundational Models for Time Series Forecasting: are we there yet?”·PyData Paris 2024·source · pretalx.com
  • Gabriele Orlandi — Data Scientist @ xtream
    • “Foundational Models for Time Series Forecasting: are we there yet?”·PyData Paris 2024·source · pretalx.com
  • Noé Achache — I am a Lead Data Scientist at Sicara, where I worked on a wide range of projects mostly related to vector databases, com
    • “Towards a deeper understanding of retrieval and vector databases”·PyData Paris 2024·source · pretalx.com
  • Nicolas Guenon des Mesnards — Nicolas is a Sr. ML Engineer at GitGuardian where he develops NLP-based technologies to detect vulnerabilities in code a
    • “Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems”·PyData Paris 2024·source · pretalx.com
  • Patrick Hoefler — Patrick Hoefler is a member of the pandas core team and a Dask maintainer. He is currently working at Coiled where he fo
  • Joris Van den Bossche — I am a core contributor to pandas and Apache Arrow, and a maintainer of GeoPandas. I did a PhD at Ghent University and V
    • “The expanding Apache Arrow universe - standardizing and accelerating tabular data access and interchange”·PyData Paris 2024·source · pretalx.com
  • David Brochart — David Brochart is a Technical Director at QuantStack. David is a contributor to the Jupyter ecosystem. He focuses on the
  • Maria Knorps — Maria's professional goal is to improve the environment by understanding it first in
    • “Evaluating the evaluator: RAG eval libraries under the loop”·PyData Paris 2024·source · pretalx.com
  • Alonso Silva — Alonso Silva is currently a Researcher on Verifiable AI at Nokia Bell Labs in the Machine Learning and Systems Research
    • “Enhancing RAG-based apps by constructing and leveraging knowledge graphs with open-weights LLMs”·PyData Paris 2024·source · pretalx.com
  • Justine BEL-LETOILE — Justine leads the data science team at HelloWork, a digital provider of employment, recruitment, and training solutions.
    • “Leveraging LLMs to build supervised datasets suitable for smaller models”·PyData Paris 2024·source · pretalx.com
  • Cérès Carton — Senior data scientist at HelloWork
    • “Leveraging LLMs to build supervised datasets suitable for smaller models”·PyData Paris 2024·source · pretalx.com
  • Serge « sans » Paille — Sometimes a compiler engineer, sometimes a wood chopper, but also a retired wizard of the coast. Enjoy telling stories,
  • Sophia Yang — Sophia Yang is the Head of Developer Relations at Mistral AI, where she leads developer education, developer ecosystem p
  • Max Halford — https://maxhalford.github.io/bio/
  • Kevin Klein — Kevin is a Data Scientist at QuantCo, where he's been working with insurances on fraud detection, risk modelling and pol
    • “Catering Causal Inference: An Introduction to 'metalearners', a Flexible MetaLearner Library in Python”·PyData Paris 2024·source · pretalx.com
  • Francesc Martí Escofet — Francesc is a MSc Data Science student at ETH Zürich. Before that, he graduated in Maths & CS at the Polytechnic Univers
    • “Catering Causal Inference: An Introduction to 'metalearners', a Flexible MetaLearner Library in Python”·PyData Paris 2024·source · pretalx.com
  • Louis Lacombe — Louis Lacombe, Data Scientist at Capgemini Invent, France.
    • “Boosting AI Reliability: Uncertainty Quantification with MAPIE”·PyData Paris 2024·source · pretalx.com
  • Thibault Cordier — Thibault Cordier is a Data and Research Scientist at Capgemini Invent, where he is a member of the Lab Invent team in Fr
    • “Boosting AI Reliability: Uncertainty Quantification with MAPIE”·PyData Paris 2024·source · pretalx.com
  • Valentin Laurent — Senior Data Scientist @ Capgemini Invent
    • “Boosting AI Reliability: Uncertainty Quantification with MAPIE”·PyData Paris 2024·source · pretalx.com
  • Andro Sabashvili — Andro Sabashvili transitioned to a data science career after obtaining a PhD in theoretical physics. Andro's data scienc
  • Stefanie Senger — Stefanie is an open source developer at :probabl. and a contributor to scikit-learn.
  • Franz Kiraly
    • “sktime - python toolbox for time series: next-generation AI – deep learning and foundation models”·PyData Paris 2024·source · pretalx.com
  • Benedikt Heidrich — I completed my PhD in deep learning based time series forecasting in 2023 with the Karlsruhe Institute of Technology. In
    • “sktime - python toolbox for time series: next-generation AI – deep learning and foundation models”·PyData Paris 2024·source · pretalx.com
  • Alyssa Wright — Alyssa helps lead Bloomberg’s Open Source Program Office (OSPO) in the Office of the CTO. Bloomberg's OSPO serves as the
    • “Open Source Sustainability & Philanthropy: Building Contributor Communities”·PyData Paris 2024·source · pretalx.com
  • Devpriya Dave — Devpriya Dave is a software engineer on the FX Options team at Bloomberg. While at Georgia Tech obtaining her master's d
    • “Open Source Sustainability & Philanthropy: Building Contributor Communities”·PyData Paris 2024·source · pretalx.com
  • Luis Blanche — I am a freelance Machine Learning Engineer
  • Benoît Courty — Benoît Courty is a data scientist with over 20 years of experience in the tech industry. He began his career as an insid
  • Pierre Raybaut — [Pierre Raybaut](https://pierreraybaut.github.io/) is a long-term advocate of Python in a scientific context, renowned a
    • “DataLab: Bridging Scientific and Industrial Worlds for Advanced Signal and Image Processing”·PyData Paris 2024·source · pretalx.com
  • Guillaume Desforges — Senior Software Engineering at Modus Create with an academic background in mathematics, statistics and AI and profession
  • Alix Tiran-Cappello — I have been working as a Data Scientist at Renault Digital for 3 years, focusing on applications for the industry and ma
    • “MLOps at Renault Group: A Generic Pipeline for Scalable Deployment”·PyData Paris 2024·source · pretalx.com
  • Alexandre Carton — I'm a data scientist and ML engineer at Renault, working on putting our ML models into production.
    • “MLOps at Renault Group: A Generic Pipeline for Scalable Deployment”·PyData Paris 2024·source · pretalx.com

What this list does not tell you

  • Where anyone is based. Paris is the city of the event, never of the person. We hold no address, and nobody here is being described as local.
  • How to reach them. No contact details are held. The agenda link is the route.
  • Everyone who qualifies. This is a seed, not a census: absence is not evidence that someone has not spoken in Paris.
  • Anything about talks still to come. Only past, published sessions are recorded — there is no upcoming schedule here.

Questions about booking a speaker in Paris

How many AI speakers have spoken in Paris?
62, across 2 conferences we hold agendas for. That is the number with a checkable record, not an estimate, and it grows when we index another Paris conference, not when more people sign up.
Which conferences do they come from?
PyData Paris 2025, PyData Paris 2024. Each one links to its own page, and from there to the conference's published agenda.
How do you know they actually spoke?
Because the conference published it. 65 of the 65 talk records on this page carry the session title exactly as the agenda printed it. Nobody self-reported and nobody paid to be here.
Are these speakers based in Paris?
Not necessarily, and we do not claim it. The city belongs to the event, not the person. This page answers who has taken a stage in Paris, which is the question that matters when you are booking one there.
What do they speak about?
Most represented on this page: Machine learning, LLM, Data engineering, AI research, NLP, AI infrastructure. Topics come from the talks themselves, not from a profile someone filled in.
Are these international keynote speakers?
Yes. The speakers listed here took keynote and practitioner stages at major international technology and AI conferences in Paris (PyData Paris 2025, PyData Paris 2024). Each listing proves their stage appearance with a direct link to the published conference agenda.
Can I get their contact details or fee?
No. We hold neither. Every entry links to the agenda page it came from, and that link is the route. It is also the honest limit of what a directory built from public agendas can tell you.

Hiring a speaker in Paris?

All 62 took a stage in Paris, and every line carries the agenda link that proves it. Leave your email and we'll open your seat with the next ten — free, no card. Signing up here tells us Paris is where people are hiring, and that is how we pick the next city to index.

What they spoke about:

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