Conferences / SciPy Conference (Scientific Computing with Python)
SciPy 2026
Jul 13–19, 2026 · University of Minnesota (McNamara Alumni Center; tutorials and sprints at Health Sciences Education Center), Minneapolis, MN, United States
- Conference
- SciPy Conference (Scientific Computing with Python) Data science & ML
- Dates
- Jul 13, 2026 – Jul 19, 2026
- Venue
- University of Minnesota (McNamara Alumni Center; tutorials and sprints at Health Sciences Education Center)
- Place
- Minneapolis, MN, United States
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- scipy2026.scipy.org
- Recorded
- 14 sponsors · 137 speaker appearances
- Notes
- 25th annual SciPy, moved from Tacoma to Minneapolis (in-person with remote attendance options). Tutorials July 13-14, conference July 15-17, sprints July 18-19. Speakers: confirmed talks, tutorials, keynotes, BoFs from pretalx (pretalx.com/scipy-2026); affiliations from pretalx bios / keynote blurbs only where stated. Financial aid campaign raised $16,750. Videos to be posted on YouTube @SciPy-Conf. No SciPy 2027 dates announced as of research date (a 'SciPy 2027' planning BoF was held).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Student tutorials only (early bird) | $275 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Student conference only (early bird) | $275 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Student tutorials only (regular) | $335 | — | Base price before 3.9% processing fee | web.archive.org |
| Student conference only (regular) | $335 | — | Base price before 3.9% processing fee | web.archive.org |
| Academic tutorials only (early bird) | $480 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Academic conference only (early bird) | $480 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Student tutorials + conference (early bird) | $520 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Academic tutorials only (regular) | $530 | — | Base price before 3.9% processing fee | web.archive.org |
| Academic conference only (regular) | $530 | — | Base price before 3.9% processing fee | web.archive.org |
| Student tutorials + conference (regular) | $570 | — | Base price before 3.9% processing fee | web.archive.org |
| Standard tutorials only (early bird) | $575 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Standard conference only (early bird) | $575 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Standard tutorials only (regular) | $625 | — | Base price before 3.9% processing fee | web.archive.org |
| Standard conference only (regular) | $625 | — | Base price before 3.9% processing fee | web.archive.org |
| Academic tutorials + conference (early bird) | $910 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Academic tutorials + conference (regular) | $960 | — | Base price before 3.9% processing fee | web.archive.org |
| Standard tutorials + conference (early bird) | $1,100 | — | Early-bird pricing for the first 100 tickets; base price before 3.9% processing fee | web.archive.org |
| Standard tutorials + conference (regular) | $1,150 | — | Base price before 3.9% processing fee | web.archive.org |
Sponsors 14
Speakers and talks 137
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Amber Case | Metagovernance Project | Keynote | Calm Technology and the History of AI | — |
| Joseph H. Kennedy | Alaska Satellite Facility | Keynote | Snakes in the Microwaves: How Python is Powering the Golden Age of SAR | — |
| Thomas Caswell | Brookhaven National Laboratory | Keynote | Stories in Code | — |
| Aarti Jha | Red Hat | Tutorial | Engineering Better Retrieval for RAG (Room HSEC 3-110) | — |
| Aarti Jha | Red Hat | Speaker | Docling for Multimodal Retrieval | — |
| Alexandra Mannings | — | Bof | The Academy and Industry: Building Interdisciplinary Relationships | — |
| Ariana Mendible | — | Speaker | First-Timer Orientation | — |
| Ashley Anderson | — | Tutorial | Create custom image visualization and analysis tools with napari (Room HSEC 2-110) | — |
| Ashwin Srinath | NVIDIA | Speaker | GPU-Accelerated Awkward Arrays with CUDA Python | — |
| Audrey Webb | — | Speaker | From Hello World to Hello LLM: A Python Developer’s Survival Guide | — |
| Austin Aguilar | Oak Ridge National Laboratory | Speaker | Enabling Agentic AI Infrastructure for Scientific Data Ecosystems | — |
| Balaji Sundaram | Bloomberg | Speaker | Ship It or Skip It? When & How to Upgrade Your Open Source Dependencies | — |
| Benjamin Batorsky | Philips | Tutorial | Building A Deep Research Agent (Room HSEC 3-150) | — |
| Bhupendra Raut | Argonne National Laboratory | Speaker | Adapt: Prototyping a Real-Time, Reproducible Data Analysis Framework for Adaptive Radar Scanning | — |
| Bobby Jackson | Argonne National Laboratory | Speaker | Nepho: A workflow for using mLLMs for atmospheric data plot exploration | — |
| Bradley Dice | NVIDIA | Speaker | Profiling Python GPU Code | — |
| Britta Westner | Donders Institute / Radboudumc | Speaker | On-boarding and retaining maintainer talent for MNE-Python | — |
| Bryce Adelstein Lelbach | — | Speaker | Profiling Python GPU Code | — |
| Caleb Krueger | Northwestern University | Bof | The Academy and Industry: Building Interdisciplinary Relationships | — |
| Carolyn Olsen | — | Speaker | AI-Powered Field Inspection: Voice Capture, Data Extraction, and Intelligent Multi-Source Routing | — |
| Carson Sievert | Posit | Tutorial | Intro to Safe, Reliable, and Maintainable AI Apps in Python (Room HSEC 3-150) | — |
| Carson Sievert | Posit | Speaker | Retrieval Augmented Generation with Raghilda | — |
| Charles Turner | ACCESS-NRI | Speaker | Finding the right time: Collaborating across Time Zones | — |
| Charles Turner | ACCESS-NRI | Speaker | FAIRer Data: The case for Data Advertising in the age of Agentic AI | — |
| Charlie Hou | — | Speaker | Simulation-Informed Machine Learning Workflows for PETase Engineering | — |
| Charlie Lin | — | Speaker | Tying Up Loose Threads: Making your Project No-GIL Ready | — |
| Chirag Shah | ARM User Facility Data Center, U.S. Department of Energy | Speaker | Enabling Agentic AI Infrastructure for Scientific Data Ecosystems | — |
| Christine Smit | NASA | Speaker | Bridging data discovery and analysis using web components and JupyterLite | — |
| Cliff Kerr | Institute for Disease Modeling, Gates Foundation | Speaker | Vibes, meet rigor: Evaluating and improving AI performance on complex scientific code | — |
| Conrad Bzura | — | Speaker | Declare, Don't Parse: Composable genomic analysis with GIQL and Oxbow | — |
| Cynthia Ukawu | — | Tutorial | Build a SciPy Coding Assistant with RAG (Room HSEC 3-110) | — |
| Daina Bouquin | Anaconda | Speaker | Down the Rabbit Hole: History of the README and Why You Should Care | — |
| Daniel Chen | Posit | Tutorial | Shiny for Python: Building Production-Ready Dashboards in Python (PWB 3-152) | — |
| Daniel Falbel | — | Speaker | Retrieval Augmented Generation with Raghilda | — |
| Daniel McCloy | — | Speaker | On-boarding and retaining maintainer talent for MNE-Python | — |
| Dario Taraborelli | Open Source for Science Fund | Bof | Funding Scientific Open Source in the Age of AI: New Challenges and Opportunities | — |
| David Nicholson | — | Bof | Virtual BoF: Resilient data, software, science, and culture | — |
| David Williams-Young | Microsoft | Speaker | QDK/Chemistry: A Composable Python Toolkit for End-to-End Quantum Chemistry on Quantum Computers | — |
| Ed Rogers | — | Speaker | First-Timer Orientation | — |
| Eniola Awowale | NASA | Tutorial | Everything is an Xarray Dataset (Room HSEC 2-138) | — |
| Eric Larson | Institute for Learning and Brain Sciences, University of Washington | Speaker | On-boarding and retaining maintainer talent for MNE-Python | — |
| Eric Ma | Moderna | Tutorial | Building A Deep Research Agent (Room HSEC 3-150) | — |
| Eric Ma | Moderna | Speaker | Canvas Chat - non-linear workflows for AI-assisted data science | — |
| Eric Ma | Moderna | Tutorial | Network Analysis Made Simple (HSEC 4-103/5) | — |
| Filippo Balzaretti | — | Speaker | How Is Python Transforming Materials Modeling with Machine Learning? | — |
| Georg Heiler | Magenta | Speaker | Dagster-slurm: Bringing Modern Data Orchestration to Slurm-Managed | — |
| Gil Forsyth | — | Bof | SciPy 2027 | — |
| Gil Forsyth | — | Bof | Lockfile-based development and applications | — |
| Gwyn Uttmark | Colorado State University | Speaker | Brassy: Palatable Multi-Institution Release Notes | — |
| Hadley Wickham | Posit | Speaker | Grammars of Data: lessons from ~20 years of the tidyverse | — |
| Hannah Ferriby | Tetra Tech | Speaker | Computational Biodiversity Accounting for Agricultural Systems with Python | — |
| Henry Schreiner | Princeton University | Bof | Lockfile-based development and applications | — |
| Henry Schreiner | Princeton University | Speaker | Discovering Particles: How we analyze petabytes of particle collision data using python | — |
| Hernan Picatto | Supply Chain Intelligence Institute Austria (ASCII) | Speaker | Dagster-slurm: Bringing Modern Data Orchestration to Slurm-Managed | — |
| Hongsup Shin | NVIDIA | Speaker | Automated Data Enrichment for Police Accountability: Where Agentic Judgment Earns Its Place | — |
| Ian Hunt-Isaak | Earthmover | Tutorial | Everything is an Xarray Dataset (Room HSEC 2-138) | — |
| Ian Hunt-Isaak | Earthmover | Speaker | Xarray DataStructures in Biology – Examples and Best Practices | — |
| Ianna Osborne | Princeton University | Speaker | GPU-Accelerated Awkward Arrays with CUDA Python | — |
| Iason Krommydas | Rice University | Speaker | Discovering Particles: How we analyze petabytes of particle collision data using python | — |
| Iason Krommydas | Rice University | Tutorial | Thinking in Arrays (Room HSEC 2-132) | — |
| Inessa Pawson | — | Speaker | Learning in the Open: Integrating Open Source Contributions into the Classroom | — |
| Jackie Valeri | Moderna | Speaker | Just throw it away? Class imbalance lessons from molecular machine learning to meatballs | — |
| Jacob Tomlinson | — | Tutorial | Deploying and debugging GPU accelerated Python workloads (Room HSEC 2-110) | — |
| Jacob Tomlinson | — | Speaker | Accelerating Geospatial Analysis with GPUs | — |
| James A. Bednar | Anaconda | Tutorial | hvPlot and Panel: Powerful data visualization, exploration, and apps (Room HSEC 4-103/5) | — |
| Jarrod Millman | UC Berkeley Open Source Program Office (OSPO) | Speaker | One Problem, Many Projects: How Scientific Needs Built an Ecosystem | — |
| Jarrod Millman | UC Berkeley Open Source Program Office (OSPO) | Bof | Securing the Scientific Python Supply Chain (in Heritage Gallery Room) | — |
| Jasmine Omeke | Airbnb | Speaker | From Hello World to Hello LLM: A Python Developer’s Survival Guide | — |
| Jaya Venkatesh | NVIDIA | Speaker | Accelerating Geospatial Analysis with GPUs | — |
| Jaya Venkatesh | NVIDIA | Tutorial | Deploying and debugging GPU accelerated Python workloads (Room HSEC 2-110) | — |
| Jim Pivarski | — | Tutorial | Thinking in Arrays (Room HSEC 2-132) | — |
| Jim Pivarski | — | Speaker | From LiDAR to action: detecting upland gullies to combat erosion and forest fires | — |
| Jocelyn Graf | University of California, Riverside | Speaker | Assessing the entrepreneurship option in uncertain times | — |
| John Hoehner | Nominal | Speaker | Instro: An open-source Python library for interfacing with hardware test equipment (in Heritage Gallery) | — |
| Jon Carlson | — | Speaker | Bridging data discovery and analysis using web components and JupyterLite | — |
| Josh Pollock | MIT | Speaker | GoFish: A Grammar of More Graphics! | — |
| Juanita Gomez | — | Bof | Securing the Scientific Python Supply Chain (in Heritage Gallery Room) | — |
| Julie Hollek | — | Speaker | First-Timer Orientation | — |
| Julie Hollek | — | Bof | Building Scientific Approaches to Generative AI | — |
| Justin Kashi | McGill University | Speaker | Simulation-Informed Machine Learning Workflows for PETase Engineering | — |
| Katie Wetstone | DrivenData | Speaker | “Horton hears a word”: Building AI Infrastructure for Children’s Speech Recognition | — |
| Katrina Riehl | NVIDIA | Bof | GPU-Accelerated Python | — |
| Katrina Riehl | NVIDIA | Tutorial | Accelerated Python Math Libraries (Room HSEC 2-110) | — |
| Katrina Riehl | NVIDIA | Tutorial | Reproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138) | — |
| Kristijan Armeni | — | Speaker | Commit to Community: Open Source Practices as Social Infrastructure in Volunteer Civic Tech | — |
| Leah Wasser | — | Bof | Beyond the Hype: AI Tools in Scientific Open Source (in Heritage Gallery Room) | — |
| Madicken | — | Bof | SciPy 2027 | — |
| Mahima Arora | Red Hat | Speaker | Docling for Multimodal Retrieval | — |
| Mahima Arora | Red Hat | Tutorial | Engineering Better Retrieval for RAG (Room HSEC 3-110) | — |
| Matt Davis | — | Tutorial | Introduction to Python and Programming (Room HSEC 3-110) | — |
| Matt McCormick | — | Speaker | A Lean and Kind OME-Zarr Toolkit for Bioimaging | — |
| Matthew Feickert | University of Wisconsin-Madison | Bof | Lockfile-based development and applications | — |
| Matthew Feickert | University of Wisconsin-Madison | Tutorial | Reproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138) | — |
| Matthew Feickert | University of Wisconsin-Madison | Bof | Securing the Scientific Python Supply Chain (in Heritage Gallery Room) | — |
| Matthijs van der Wild | — | Speaker | DerivKit: End-to-End Derivative-Based Inference in Scientific Python | — |
| Michael Greminger | University of Minnesota Duluth | Speaker | Accessible Python Powered Web Apps for the Classroom | — |
| Michael Zargham | BlockScience | Speaker | Derivations, Not Just Simulations: Teaching Applied Mathematics with Scientific Python | — |
| Mohammad Mundiwala | — | Speaker | Learning in the Open: Integrating Open Source Contributions into the Classroom | — |
| Nathan Martindale | Oak Ridge National Laboratory | Speaker | Reno: Simplifying Application of Bayesian Inference to System Dynamics | — |
| Naty Clementi | NVIDIA | Tutorial | Deploying and debugging GPU accelerated Python workloads (Room HSEC 2-110) | — |
| Naty Clementi | NVIDIA | Speaker | Accelerating Geospatial Analysis with GPUs | — |
| Naty Clementi | NVIDIA | Bof | Lockfile-based development and applications | — |
| Nezar Abdennur | UMass Chan Medical School | Speaker | Declare, Don't Parse: Composable genomic analysis with GIQL and Oxbow | — |
| Nicholas Geneva | NVIDIA | Speaker | Navigating the Storm: Software Orchestration and Pipelines for AI-Driven Weather Forecasting | — |
| Nick Hodgskin | Utrecht University | Tutorial | Everything is an Xarray Dataset (Room HSEC 2-138) | — |
| Nicolas R Posner | Rose Center for Earth and Space | Speaker | When Vectorized Arrays Aren't Enough: Array Optimization from Bytecode to Assembly | — |
| Niko Sarcevic | Duke University | Speaker | DerivKit: End-to-End Derivative-Based Inference in Scientific Python | — |
| Patrick Deziel | — | Speaker | The future of OCR? Structured text extraction with LLMs | — |
| Paul Ivanov | — | Speaker | Pun Intended Consequences | — |
| Puneet Kollipara | — | Bof | Virtual BoF: Resilient data, software, science, and culture | — |
| Ravi Teja Pagidoju | — | Speaker | Compressing LSTM Networks for Scalable Retail Demand Forecasting: A Python-Based Approach to Efficient Time-Series Prediction | — |
| Rebecca Ely | Bloomberg | Speaker | Ship It or Skip It? When & How to Upgrade Your Open Source Dependencies | — |
| Roni Kobrosly | — | Tutorial | Introduction to Causal Inference (Room HSEC 3-110) | — |
| Rowan Cockett | — | Speaker | Open Exchange Architecture: From computational narrative to interactive preprint | — |
| Ruben Arts | prefix.dev | Tutorial | Reproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138) | — |
| Ruben Arts | prefix.dev | Bof | Lockfile-based development and applications | — |
| Ruben Arts | prefix.dev | Speaker | Scipy, Numpy, Xarray and Python all have a pixi.toml. Why? | — |
| Ryan C Cooper | University of Connecticut | Speaker | Learning in the Open: Integrating Open Source Contributions into the Classroom | — |
| Ryan Curtin | — | Speaker | Learning in the Open: Integrating Open Source Contributions into the Classroom | — |
| Sai Sanjana Prakash | — | Speaker | Simulation-Informed Machine Learning Workflows for PETase Engineering | — |
| Sara Altman | Posit | Speaker | Agents for Correct, Transparent, and Reproducible Data Analysis | — |
| Sarah Tabor | BETA Technologies | Speaker | Electrifying Aviation with Python: An End-to-End Data Pipeline from Test Stand to Analytics | — |
| Shawn Crawley | Lynker | Tutorial | One Language to Rule Them All: Developing Reactive, Scientific Web Apps in Pure Python with Tethys Platform (Room HSEC 4-103/5) | — |
| Shruti Sapre | Bloomberg | Speaker | Ship It or Skip It? When & How to Upgrade Your Open Source Dependencies | — |
| Shubham Sharma | — | Tutorial | Microwave Image Processing: Exploring realms of Earth through spaceborne Radars using Python (Room PWB 3-152) | — |
| Simon Couch | Posit | Speaker | Agents for Correct, Transparent, and Reproducible Data Analysis | — |
| Smit Lunagariya | Tutorial | Computational Methods for Simulation using JAX and NumPy (Room HSEC 2-110) | — | |
| Stéfan van der Walt | — | Bof | Scientific Python: Ecosystem Coordination & Maintainer Support (in Heritage Gallery Room) | — |
| Tim Monko | napari | Tutorial | Create custom image visualization and analysis tools with napari (Room HSEC 2-110) | — |
| Tim Monko | napari | Speaker | (Re)-connecting foundational libraries with their communities: Successes, failures, and surprises in building the napari plugin sustainability initiative | — |
| Tomasz Kalinowski | Posit | Speaker | Retrieval Augmented Generation with Raghilda | — |
| Tracy Teal | — | Speaker | Open Exchange Architecture: From computational narrative to interactive preprint | — |
| Trevor Manz | — | Speaker | Ask more of your notebook: what can anywidgets do for you? | — |
| Trevor Manz | — | Tutorial | Interactive computing with marimo and anywidget (Room HSEC 2-138) | — |
| Utkarsh Mahai | ARM User Facility Data Center, U.S. Department of Energy | Speaker | Enabling Agentic AI Infrastructure for Scientific Data Ecosystems | — |
| Yevgen Matviychuk | — | Speaker | Remote Access to Scientific Data with Tiled | — |
| Yuan Tang | Red Hat | Speaker | Building for the Road Ahead: Transferable Lessons from the Front Lines of Open Source Maintenance | — |