SciPy 2024

SciPy 2024 Poster Session and Job Fair
07-10, 18:00–19:00 (US/Pacific), Ballroom

The Poster session will be in the Ballroom from 6:00-7:00pm. Meet with the poster authors to ask questions and learn about the posters that will be on display throughout the main conference.

The Job Fair will be held concurrently in the Ballroom foyer with participating sponsors. Sponsor companies will be available to discuss current job opportunities.

POSTERS: Title - Author (Track)

  1. Growing the Jupyter4Science Knowledge Base: notebooks as scientific workflows, web apps, publications, reproducible dissertations, and more - Nicole Brewer (Maintainers and Community)

  2. Enabling accessible and reproducible climate science with ARM open source software - Bobby Jackson (Earth, Ocean, Geo, and Atmospheric Science)

  3. Creating an Open Educational Resource Within Project Pythia for Teaching Atmospheric Modeling Fundamentals in Python with Numba - JT Thielen (Earth, Ocean, Geo, and Atmospheric Science)

  4. How NetworkX Evolved to Support an Ecosystem of Backends - Dan Schult (Maintainers and Community)

  5. THEIA: An offline tool for tradespace visualization - Sam Williams (Data Visualization and Image Processing)

  6. Streaming Data in the Age of AI - Zander (Data Science and AI/Machine Learning)

  7. SciKit Digital Health: Scientific Python package for digital health data science - Lukas Adamowicz, Yiorgos Christakis (Data Science and AI/Machine Learning)

  8. zfit: scalable pythonic distribution fitting - Jonas Eschle, Rafael Silva Coutinho (Data Science and AI/Machine Learning)

  9. AI-driven Watermarking Technique: Safeguarding Text Integrity in the Digital Age - Atharva Rasane (General)

  10. GenVeg: Modeling Vegetation Dynamics with LandLab - Amanda Catlett (Earth, Ocean, Geo, and Atmospheric Science)

  11. Portable data-parallel native Python extension with oneAPI - Oleksandr Pavlyk, Nikita Grigorian (Playing Nice: Scientific Computing Across Programming Languages)

  12. GeoArrow: Efficient geospatial data sharing across Python, C, Rust, and JavaScript - Kyle Barron (Playing Nice: Scientific Computing Across Programming Languages)

  13. PyVista: A Python Library for Interactive 3D Data Visualization and Analysis - Tetsuo Koyama (Data Visualization and Image Processing)

  14. Evolving the remote compute workflow with Spyder - Carlos Cordoba, C.A.M. Gerlach (General)

  15. Array-API Compatible Quadrature, Series Summation, Differentiation, Optimization, and Rootfinding in SciPy - Matt Haberland (General)

  16. Facilitating scientific investigations from long-tail data with Python - Deborah Khider (Earth, Ocean, Geo, and Atmospheric Science)

  17. Revolutionizing Document Identification at Dupont: Streamline Data Extraction with SciPy and Miniconda - Avishek Panigrahi, Sumanth S (Materials and Chemistry)

  18. VTK: Seamless integration across developer ecosystems with webassembly and python - Jaswant Panchumarti, Sebastien, Aashish Chaudhary (Playing Nice: Scientific Computing Across Programming Languages)

  19. Building sustainability and community in a small project: lessons from working on SaltProc - Oleksandr Yardas (General)

  20. The cralds Python Package: Fundamental Reusable Functionality for Measurement Data Science Applications - Matthew J L Mills (Materials and Chemistry)

  21. Zarr-Python 3 - Joe Hamman (General)

  22. Formatted Representation of Economic Models - Sebastian Benthall (Human Networks, Social Sciences, and Economics)

  23. VAPOR Python API: A 3D data visualization python API for earth science datasets - Nihanth Cherukuru (Earth, Ocean, Geo, and Atmospheric Science)

  24. Improve Your ML Projects: Embrace Reproducibility and Production Readiness with Kedro - Juliana Ferreira Alves (Data Science and AI/Machine Learning)

  25. Dashboard-assisted exploratory analysis of Bayesian models - Yilin Xia (Data Visualization and Image Processing)

  26. Aeromancy: Towards More Reproducible AI and Machine Learning - David McClosky (Data Science and AI/Machine Learning)

  27. Scientific Publishing with MyST Markdown - Steve Purves, Rowan Cockett (General)

  28. Dragon Multi-Language and Multi-System Workflows - Colin Wahl (Playing Nice: Scientific Computing Across Programming Languages)

  29. Accelerating the use of Lagrangian data with CloudDrift - Kevin Santana (Earth, Ocean, Geo, and Atmospheric Science)

  30. Cubed: Bounded-Memory Serverless Array Processing in Xarray - Tom Nicholas (General)

  31. RoughPy: Streaming data is rarely smooth - Sam Morley (Data Science and AI/Machine Learning)

  32. JupyterLab NodeEditor - Visual Programming Powered Jupyter Extension for Domain Experts - Yilin Xia (Data Visualization and Image Processing)

  33. DataLab: Bridging Scientific and Industrial Worlds for Advanced Signal and Image Processing - Pierre Raybaut (Data Visualization and Image Processing)

  34. Open Source Farm to Open Science Table: Project Pythia’s Cook-off Hackathons - Kevin Tyle, Drew Camron (Maintainers and Community)

  35. Exploring SWOT L2 Sea Surface Height with an efficient cloud-based dashboard - Ayush Nag (Earth, Ocean, Geo, and Atmospheric Science)

  36. Improved Uncertainty Quantification: Navigating Time Series Bootstrapping with tsbootstrap - Sankalp Gilda (Data Science and AI/Machine Learning)

  37. Prefect Workflows for Scaling Scientific Data Pipelines - _Don Setiawan, Valentina Staneva, Wu-Jung Lee, Soham Kishor Butala
    _ (General)

  38. Geist: a multimodal data transformation, query, and reporting language - _Meng Li, Timothy McPhillips, Bertram Ludaescher
    _ (Playing Nice: Scientific Computing Across Programming Languages)

  39. Scale Data Science by Pandas API on Spark - Xinrong Meng (Data Science and AI/Machine Learning)

  40. Benefits and Challenges of Modernizing Lightning Research tools with HoloViz - Sam Gardner (Earth, Ocean, Geo, and Atmospheric Science)

  41. The BrainGlobe Initiative - Developing Open-Source Computational Neuroanatomy Tools - Igor Tatarnikov (Data Science and AI/Machine Learning)