SciPy 2023

Poster Session and Job Fair
07-12, 18:00–19:00 (America/Chicago), Zlotnik Ballroom

The Poster session will be in the Zlotnik Ballroom from 6:00-7:00pm.

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

POSTERS: Title - Authors (Track)

  1. RECOIL - Ronchi Evaluator and Classifier of Imperfect Lenses (RECOIL) - Allen S. Harvey Jr., Clare Egan (Astronomy and Physics)
  2. Planetary Defense Using Python: Measuring Deflection of the Didymos Binary Asteroid System by the NASA DART Mission - Arushi Nath (Astronomy and Physics)
  3. pyro: a python hydrodynamics code for teaching and prototyping - Michael Zingale (Astronomy and Physics)
  4. Accessing astronomical data with Python - Brigitta Sipőcz (Astronomy and Physics)
  5. Spatial and Single-Cell Analysis of MERFISH Data using the Python Library Cormerant - Nicolas Fernandez (Bioinformatics, Computational Biology & Neuroscience)
  6. Cross-language Data Grammar for Single-cell Feature Engineering - Dave Bunten (Bioinformatics, Computational Biology & Neuroscience)
  7. Biomolecular crystallographic computing with Jupyter - Blaine Mooers (Bioinformatics, Computational Biology & Neuroscience)
  8. MDAKits: A Framework for FAIR-Compliant Molecular Simulation Analysis - Ian Kenney (Bioinformatics, Computational Biology & Neuroscience)
  9. Obtain quantitative insights through image registration in python - Matt McCormick, Konstantinos Ntatsis (Bioinformatics, Computational Biology & Neuroscience)
  10. EEG-to-fMRI: Neuroimaging Cross Modal Synthesis in Python - David Calhas (Bioinformatics, Computational Biology & Neuroscience)
  11. Matchmaker: A Toolkit for Collocating and Combining Satellite-Based Earth Observations - Greg Quinn (Earth, Ocean, Geo, and Atmospheric)
  12. Building geospatial workflows for Impact using Leafmap, SageMaker Studio Lab, and Open Data on AWS - Qiusheng Wu, Mike Jeffe (Earth, Ocean, Geo, and Atmospheric)
  13. Operational Open Science and Software for the Planet's Largest Climate Observatory - Zachary Sherman (Earth, Ocean, Geo, and Atmospheric)
  14. Moving the Earth with thermodynamics and python - Cian Wilson (Earth, Ocean, Geo, and Atmospheric)
  15. Bringing automated data analysis and machine learning pipelines directly to end users using Unidata tools - Thomas Martin, Hailey Johnson, Drew Camron (Earth, Ocean, Geo, and Atmospheric)
  16. Yori: A New, Highly Customizable Tool for Level-3 Data Production - Paolo Veglio (Earth, Ocean, Geo, and Atmospheric)
  17. Intuitive Statistics in SciPy - Matt Haberland, Albert Steppi (General Track)
  18. Using MyST Markdown in JupyterLab - Rowan Cockett (General Track)
  19. PyVista: A Python Library for Interactive 3D Data Visualization and Analysis - Tetsuo Koyama (General Track)
  20. SOSA: The Scalable Open-Source Analysis Stack - James A. Bednar, Martin Durant (General Track)
  21. Sensitivity Analysis in Python: scipy.stats.sobol_indices - Pamphile Roy (General Track)
  22. Improving the SciPy-CuPy compatibility for interpolation and signal processing - Edgar Andrés Margffoy Tuay (General Track)
  23. aPhyloGeo-Covid: A Web Interface for Phylogeographic Analysis of SARS-CoV-2 Variation using Neo4j and Snakemake - Nadia Tahiri, Wanlin Li (Machine Learning, Data Science, and Ethics in AI)
  24. Quantifying Uncertainty in Time Series Forecasting with Conformal Prediction - Fede Garza Ramirez (Machine Learning, Data Science, and Ethics in AI)
  25. Anti-Patterns: How not to do things in Python - Gajendra Deshpande (Machine Learning, Data Science, and Ethics in AI)
  26. pomegranate v1.0.0: now with PyTorch - Jacob Schreiber (Machine Learning, Data Science, and Ethics in AI)
  27. Data engineering and analytics for photolithography manufacturing process at DuPont – a practical approach from lab to fab - Avishek Panigrahi, Sumanth S, Abhishek Shrivastava, stefan caporale (Machine Learning, Data Science, and Ethics in AI)
  28. Stochastic Unitary Constraints - Victoria Schneider, Sara Logsdon, Delaney Ott (Machine Learning, Data Science, and Ethics in AI)
  29. Hamilton: Scalable, Portable, and Self-Documenting Dataflows in Python - Elijah ben izzy, Stefan Krawczyk (Machine Learning, Data Science, and Ethics in AI)
  30. Teaching machine learning in professional education - Nadia Udler (Machine Learning, Data Science, and Ethics in AI)
  31. Magic Data Abstractions (for Magic™ data) - Valerio Maggio (Machine Learning, Data Science, and Ethics in AI)
  32. Self-Supervised Cilia Segmentation - Meekail Zain, Shannon Quinn (Machine Learning, Data Science, and Ethics in AI)
  33. Data-centric ML pipeline for resolving data drift and optimizing data preprocessing - Hongsup Shin (Machine Learning, Data Science, and Ethics in AI)
  34. "Clockwork" detection in categorical telemetry data - Benoit Hamelin (Machine Learning, Data Science, and Ethics in AI)
  35. Intro to Quantum Computing for Drug Design - Maurice Benson (Machine Learning, Data Science, and Ethics in AI)
  36. PyQtGraph - High Performance Visualization for All Platforms - Nathan Jessurun (Machine Learning, Data Science, and Ethics in AI)
  37. Accelerating Drug Discovery on the Cloud with Open Source Python - Nathan Knapp (Materials and Chemistry)
  38. Modeling Multiphase Multicomponent Precipitate Growth with Phase-Field and Python - Trevor Keller (they/them) (Materials and Chemistry)
  39. Materials Project: building an open-source, data-driven platform for materials science - Ruoxi Yang (Materials and Chemistry)
  40. Rozha: Supporting and Simplifying Multilingual Natural Language Processing - Ian Goodale (Social Science and the Digital Humanities)
  41. Spatial Microsimulation & Activity Allocation in Python: An Update on the Likeness Toolkit - James Gaboardi, Joe Tuccillo (Social Science and the Digital Humanities)
  42. Python meta packages - Jorge Martinez, Roberto Pastor (Tending Your Open Source Garden: Maintenance and Community)
  43. quartodoc: a tool for quick and easy package documentation - Michael Chow (Tending Your Open Source Garden: Maintenance and Community)
  44. TUG-RSE: Pulling Students into Research Software Engineering - Aman Goel (Tending Your Open Source Garden: Maintenance and Community)
  45. CI/CD pipelines for scientists - Jorge Martinez (Tending Your Open Source Garden: Maintenance and Community)
  46. First steps toward supercharging remote development with Spyder - Carlos Cordoba (Tending Your Open Source Garden: Maintenance and Community)
  47. Chalk'it : dataflow and drag-and-drop Python dashboarding - Mongi Ben Gaid (Tending Your Open Source Garden: Maintenance and Community)
  48. Accessible documentation for everyone - Jorge Martinez, Revathy Venugopal (Tending Your Open Source Garden: Maintenance and Community)
  49. Patterns and Anti-Patterns when Measuring Diversity in Open Source - Amanda Casari (Tending Your Open Source Garden: Maintenance and Community)
Prerequisites –

None