Conferences / Compute!
Compute! Paris 2026
Nov 25–26, 2026 · Centre International de Conférences de Sorbonne Université (CICSU), Jussieu campus, Paris, France Announced
- Conference
- Compute! Data science & ML
- Dates
- Nov 25, 2026 – Nov 26, 2026
- Venue
- Centre International de Conférences de Sorbonne Université (CICSU), Jussieu campus
- Place
- Paris, France
- Format
- In person
- Status
- Announced
- Attendance
- —
- Website
- compute.events
- Recorded
- 9 sponsors · 51 speaker appearances
- Notes
- First edition. Three rooms (Auditorium, 106, 108) plus BoF room; sprints on 27 Nov 2026 at SCAI, Sorbonne Université. Organized by QuantStack (ex-PyData Paris team). The Apache Arrow project planned an informal BoF here instead of a 2026 Arrow Summit. Ticket prices from the Tito checkout (corporate/individual regular passes shown as 400/200 EUR). Speakers: full list of talks and keynotes from the pretalx schedule export; affiliations from pretalx bios (null where none stated).
Ticket prices
Sponsors 9
Silver 1
Community 4
- PyLadies Paris · Community Partner
- R-Ladies Paris · Community Partner
- SCAI · Community Partner
- Systematic Paris-Region · Community Partner
Speakers and talks 51
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Fernando Pérez | UC Berkeley | Keynote | Jupyter, open source and AI: science and humans? | — |
| Ines Montani | Explosion | Keynote | A New Era of Developer Tools | — |
| Mackenzie Weygandt Mathis | EPFL | Keynote | Advancing neuroscience research with AI | — |
| Wolf Vollprecht | prefix.dev | Keynote | Saving Conda | — |
| A. T. Darian | QuantStack | Speaker | The Notebook Is the Backend: Serverless Grading for Jupyter(Lite) | — |
| Alexis Placet | QuantStack | Speaker | Sparrow ecosystem: Light & Modern C++20 implementation of Apache Arrow | — |
| Alonso Silva | Nokia Bell Labs | Speaker | Batch processing for constrained generation | — |
| Anne fouilloux | LifeWatch ERIC | Speaker | 30 replications later: the failure modes nobody reports and how to make replications FAIR and citable | — |
| Anne-Marie Tousch | Independent | Speaker | Open Data Visualization is Beautiful with Altair | — |
| Arthur Andres | — | Speaker | The Rust tipping point for Python libraries | — |
| Christof Seiler | University of Zurich | Speaker | When hardware decides your biology: What we learned from running PCA on an HPC cluster | — |
| Evangelos Papoutsellis | — | Speaker | CIL: Open-Source Optimisation for Imaging Inverse Problems | — |
| Feryal Batoul TALBI | Sorbonne Université (LIP6) / IFP Energies nouvelles | Speaker | Measuring Knowledge in AI Systems: Automated domain specific Knowledge Graph Construction from Scientific Literature | — |
| Francesco Bruzzesi | Intella | Speaker | Vectorized statistical distributions, built on the Polars engine | — |
| Gaël Varoquaux | — | Speaker | The State of Tabular AI 2026: scikit-learn, Tabular Foundation Models, and Agentic Data Science | — |
| Gaetan de Castellane | Probabl | Speaker | Catching ML mistakes automatically with skore: from data scientists to agentic pipelines | — |
| Grégoire Martinon | — | Speaker | Stop Guessing, Start Measuring. Rigorous Evaluation of Agentic Systems with Prediction-Powered Inference | — |
| Guillaume Eynard-Bontemps | CNES | Speaker | Using geojupyter community tools for earth data analysis and visualization at scale in the context of Snow Detection | — |
| H. Gijs J. van den Dool | Independent | Speaker | Navigating the Vanguard: A Practical Guide to Selecting Geospatial Foundation Models | — |
| Henrik Bengtsson | — | Speaker | Parallelize Your R Code with a Single Tweak - Easier than Ever Before | — |
| İlhan Polat | — | Speaker | from hardware import linalg | — |
| Jean Iaquinta | — | Speaker | 30 replications later: the failure modes nobody reports and how to make replications FAIR and citable | — |
| Jeremy Tuloup | QuantStack | Speaker | Reshaping the Jupyter Computing Environment | — |
| Johan Mabille | QuantStack | Speaker | Sparrow ecosystem: Light & Modern C++20 implementation of Apache Arrow | — |
| Joris Van den Bossche | — | Speaker | State of GeoPandas (and friends) | — |
| Joseph Barbier | Yellow Sunflower | Speaker | More accessible data science | — |
| Justine Leclerc | University of Zurich | Speaker | Supporting Reliable Clinical Prediction Through Interactive Open-Source Tools | — |
| Laia Domenech Burin | Sovereign Tech Agency | Speaker | The Invisible Work of the Stack: Measuring the Impact of Public Investment in Python | — |
| Lawrence Mitchell | NVIDIA | Speaker | Scaling up GPU acceleration in the Polars dataframe library | — |
| Lucas Colley | — | Speaker | The road(map) towards SciPy 2.0 | — |
| Madelon Hulsebos | — | Speaker | The State of Tabular AI 2026: scikit-learn, Tabular Foundation Models, and Agentic Data Science | — |
| Mamy | — | Speaker | Easy bidirectional Python/C/C++/JavaScript interop + compute kernel generation for CUDA, OpenCL, Vulkan, WebGPU, CPU SIMD | — |
| Marcus Denker | Inria | Speaker | Pharo: a Live Environment Where Code, Data, and Model Are One | — |
| Marie Sacksick | Probabl | Speaker | How can you use agents and keep an interesting data science job? | — |
| Martin Renou | QuantStack | Speaker | Using geojupyter community tools for earth data analysis and visualization at scale in the context of Snow Detection | — |
| Matthieu Noel | Inria | Speaker | EasyFEA: accessible and high-performance FEM in Python — from mesh generation to MPI-parallel simulations | — |
| Mickael Ide | NVIDIA | Speaker | Accelerating Vector Search: Finding the needle when the haystack gets bigger and bigger | — |
| Olivier Grisel | Probabl | Speaker | TabICL vs scikit-learn for predictive uncertainty quantification | — |
| Pierre Augier | CNRS | Speaker | SPy: Python's Missing Companion Language | — |
| Pietro Peterlongo | AgileLab | Speaker | Sailing the Seas of Scientific Nim | — |
| Quentin Lhoest | Hugging Face | Speaker | Efficient Parquet deduplication and storage | — |
| Riccardo Cappuzzo | Inria | Speaker | Building an ML pipeline for churn prediction with skrub Data Ops | — |
| Rok Mihevc | — | Speaker | Beyond JSON: How Parquet's New Variant Type Changes Semi-Structured Data | — |
| Romain Clement | Independent | Speaker | Data Science and Engineering: We Were on a Break! | — |
| Romain François | — | Speaker | Beyond One-Shot Rendering: Interactive R htmlwidgets in Jupyter | — |
| Serena Bonaretti | — | Speaker | A practical experience report on community management from Jupyter Hub and Jupyter Book | — |
| Simon Danisch | — | Speaker | The Future of Makie: Raytracing and Beyond | — |
| Tim Paine | Cubist Systematic Strategies | Speaker | nbplay: making music in notebooks | — |
| Tim Weiland | University of Tübingen | Speaker | Stop brute-forcing your posteriors: structured Bayesian inference in Julia | — |
| Vincent Sarago | — | Speaker | Using geojupyter community tools for earth data analysis and visualization at scale in the context of Snow Detection | — |
| Yann Pellegrini | — | Speaker | Coordinating security across 350+ Jupyter repositories | — |