SciPy 2025

(Exclusively in Gather) Virtual Poster Session
07-09, 18:00–19:00 (US/Pacific), Room 315

The virtual poster session takes place 6:00–7:00 p.m. in the SciPy 2025 Gather space. Meet with the poster authors to ask questions and learn about the posters that will be on display in the poster hall inside our virtual space.

  1. Vadym Pasko - Enhancing Curve Fitting with SciPy: Interactive Spline Modeling and Reproducibility with SplineCloud (General)
  2. Sriram Murthy - Modeling the relationship between spiking neurons and biomarkers of brain injury using SNN data: A novel prediction approach. (Bioinformatics, Computational Biology, and Neuroscience)
  3. Diptangshu dey - Venturial and PyVNT: Simplifying CFD Case Creation in OpenFOAM (General)
  4. Scott - Eye-tracking in MNE-Python: A Unified Framework for Neural and Ocular Data Analysis (Bioinformatics, Computational Biology, and Neuroscience)
  5. Matthew Powers - Introducing geospatial support in Apache Iceberg (Earth, Ocean, Geo, Climate, and Atmospheric Science)
  6. Leslie Yu Chen - Imprecise uncertainty quantification and management with uncertain numbers (General)
  7. Prakhar Dixit, Sadia Kamal - MedGrad E-CLIP : Enhancing Trust and Explainability in AI-Driven Skin Cancer Diagnosis (Machine Learning, Data Science, and Explainable AI)
  8. Kevin Shuman - Simplifying Lagrangian Data Analysis with CloudDrift (Earth, Ocean, Geo, Climate, and Atmospheric Science)
  9. Anil Sharma, Shafi Khan - AI Agents as Intelligent Microservices: A Paradigm Shift in Enterprise Architecture. (Machine Learning, Data Science, and Explainable AI)
  10. Matt Haberland - MArray – Add Mask Support to any Array API Compatible Backend (General)
  11. Jarai Carter - : “I Upgraded My AI… Now It’s Funnier Than Me!" A Beginner’s Guide to Prompt Engineering for Playfulness (Machine Learning, Data Science, and Explainable AI)
  12. Ashwin Srinath - The Missing GPU Building Blocks for Python (General)
  13. Cain√£ Max Couto da Silva - SQLDeps: A Python package for SQL dependency discovery with LLMs (Machine Learning, Data Science, and Explainable AI)
  14. Richard Iannone - Introducing Pointblank: Flexible and Easy-to-use Data Validation (General)
  15. Jonny - SciOp: Survivable hybrid peer-to-peer/federated archives against the memory hole (General)
  16. Mihai Maruseac - Taming the Wild West of ML: Practical Model Signing with Sigstore on Kaggle (Machine Learning, Data Science, and Explainable AI)
  17. Connor Laughland - Building a Scalable pipeline for neuronal resolution imaging of whole brain circuits (Bioinformatics, Computational Biology, and Neuroscience)
  18. Beth Cimini - Bilayers: A container specification and CI/CD built for whole-community support (Bioinformatics, Computational Biology, and Neuroscience)
  19. Gift Ojeabulu - Reproducibility in Machine Learning: Why Versioning & Documentation Matters (Machine Learning, Data Science, and Explainable AI)
  20. Monica Seglar-Arroyo - Advancing Multi-Messenger Astronomy with tilepy (Physics and Astronomy)
  21. [email protected] - FireDucks : Accrelarete Pandas Programs without Hand Optimization (General)
  22. Noah Dunn - GDIOCSpider - Extracting and Identifying IOCs from the GDriveverse (Machine Learning, Data Science, and Explainable AI)
  23. Daniel Anderson - Calculus phobic's introduction to differentiable programming in Python (General)
  24. Avik Basu - Beyond the Black Box: Interpreting ML models with SHAP (Machine Learning, Data Science, and Explainable AI)
  25. Shashank Kapadia - From Concept to Scale: Building Ethical, Explainable, and Efficient Generative AI Systems (Machine Learning, Data Science, and Explainable AI)
  26. Edson Bomfim - Improving the quality of the data (General)
  27. Jennifer Iloekwe - The Use of Convoluted Neural Networks for Multiclass Weather Classification: A Case Study in Scientific Python (Machine Learning, Data Science, and Explainable AI)
  28. SREYA GHOSH - Automating Solar Quake Identification with Python (Physics and Astronomy)
  29. Ying-Jung Chen, Fang-Yin Lin - Building Responsible AI: An AI-Driven Framework for Sustainable, Ethical, and Privacy-Preserving IoT Systems (Machine Learning, Data Science, and Explainable AI)
  30. Cain√£ Max Couto da Silva - ProjectLens: Optimizing Codebases for AI-Powered Development (Maintainers and Community)
  31. Daniel Chen - Creating and Sharing Scalable Applications with Shiny for Python (Machine Learning, Data Science, and Explainable AI)
  32. Kedar Dabhadkar - Eyes in the sky: Estimating Inland Water Quality Using Landsat Data (Earth, Ocean, Geo, Climate, and Atmospheric Science)
  33. Saurabh Garg, Valay - Operationalizing Large Scale Distributed ML Training (Machine Learning, Data Science, and Explainable AI)
  34. Dion Häfner - Pipeline-level differentiable programming for the real world (General)
  35. Gift Ojeabulu - The Hidden Math Behind Large Language Models: Transformers, Attention, and Probability (Machine Learning, Data Science, and Explainable AI)
  36. Braxton Cuneo - It’s About Time: Cross-Platform Decorator-Based Function Profiling (General)
  37. Lilinoe Harbottle - MedTech's Robotic Nodule Biopsy: A Cut Above (Without the Cut) (General)
  38. Marcelo Guerra Hahn - Teaching Scientific Programming with AI (Teaching and Learning)
  39. Gift Ojeabulu - Reproducibility in Machine Learning: Why Versioning & Documentation Matters (Machine Learning, Data Science, and Explainable AI)
  40. Arkadiusz Trawinski - Probability calculation using SymPy (Physics and Astronomy)
  41. Shaurya Agarwal - Common Patterns of Complexity and Opportunities for Optimization in Data Engineering (PySpark and friends) (General)
  42. Jennifer Yoon - AI for wearable ECG prototype - quantified health (Machine Learning, Data Science, and Explainable AI)
  43. Gamini Singh - Skip the Syntax Struggle, Build a SQL Assistant (Machine Learning, Data Science, and Explainable AI)
  44. LAUREL WEBER - Python for Neural Network-Based Signal Processing in Bioinformatics (Bioinformatics, Computational Biology, and Neuroscience)
  45. Apoorva Lal - Optimization-based statistics in python with pyensmallen (Machine Learning, Data Science, and Explainable AI)
  46. Pedro Garcia Lopez, Enrique Molina-Giménez - Serverless Data Processing with Lithops (Machine Learning, Data Science, and Explainable AI)
  47. Prakhar Dixit, Sadia Kamal - SBI-RAG: Enhancing Math Learning in Students with Schema-Based Instruction with Step-by-Step Problem Solving (Teaching and Learning)
  48. isabel zimmerman - Making IDEal choices: choosing the right tool for you (General)
  49. Shaurya Agarwal - Fun with FinOps - Playing with Cloud Cost and Usage Data in Python (General)