Scientific Visualization (ParaView) Portfolio

by Katherine Feemster

Senior Scientific Visualization Specialist · ParaView · VTK · Catalyst In-Situ

🌐 Live portfolio site · GitHub repo

VTK-rendered Q-criterion, FEM stress fields, volumetric plumes, a ParaView plugin and a Catalyst in-situ pipeline — every figure regenerated headlessly from code.

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Contents

• Highlighted projects
• Reproducibility
• Tech stack
• Editorial style
• Repo layout
• About the author
• Contact

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Hero

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Highlighted projects

Project	Stack	What it proves
Turbulent flow visualization	Taylor-Green vortex	Analytic 3D vortex field, Q-criterion, RK4 streamlines, exported to .vti.
FEM stress field	Notched cantilever	78k tetrahedra with σ + displacement, von Mises + warp-by-vector renders, .vtu.
Volumetric scalar field	Atmospheric plume	96³ procedural scalar, GPU volume render with hand-tuned transfer function.
ParaView custom plugin	Server-manager proxy	XML proxy + Python module for vorticity magnitude + automatic seed extraction.
Catalyst in-situ pipeline	Catalyst v2 adaptor	Toy time-stepping driver that contours, colour-maps and screenshots in-process.

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Reproducibility

pip install vtk numpy
python scripts/python/render_figures.py    # regenerates every PNG in docs/

Pure VTK in scripts/python/ runs in CI without ParaView; scripts/pvpython/ covers the pvbatch flows; the plugin and Catalyst adaptor have their own CMake builds.

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Tech stack

• ParaView & VTK — ParaView 5.13 pipelines, pvpython / pvbatch, ParaView server-manager plugin authoring (XML proxy + Python module).
• In-situ — Catalyst v2 adaptors, Conduit mesh descriptions, ADIOS2, timestep-driven screenshotting.
• Formats — .vti / .vtu / .pvd / .vtk / .pvtu / .cgns / Exodus-II.
• Rendering — Volume + iso + streamlines + warp-by-vector + glyphs · perceptual colour maps (viridis, cet_L17, cmocean).
• Build & CI — CMake 3.27, GitHub Actions — installs vtk, runs every script, publishes Pages.

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Editorial style

• Palette — teal #2E7A7B + amber #D9A441 on ink #0F1A1F / paper #FBFAF7.
• Type — Inter (UI) + JetBrains Mono (code, netlists, timecode).
• Determinism — every generator is seeded; PNG, CSV and project-file bytes are stable across CI runs.
• Licensing — every tool in the pipeline is FOSS. No commercial SDK in the dependency tree.

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Repo layout

scientific-visualization-paraview-portfolio/
├── projects/                    # five case studies with their own READMEs
├── scripts/python/              # pure VTK — runs in CI, no ParaView needed
├── scripts/pvpython/            # pvpython / pvbatch flows
├── scripts/plugin/              # ParaView server-manager plugin (XML + Python)
├── scripts/catalyst/            # Catalyst v2 adaptor + driver
├── docs/                        # GitHub Pages site
└── .github/workflows/           # CI installs vtk, regenerates figures, deploys Pages

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About the author

Senior scientific-visualisation specialist building ParaView and VTK pipelines for research and HPC teams — Q-criterion, FEM post-processing, volume rendering, server-manager plugins and Catalyst in-situ adaptors. I care about reproducible artefacts (every PNG from code), perceptual colour mapping, and pipelines that survive a version bump.

Open to remote and contract engagements. This repository is the living portfolio companion to my CV.

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Contact

Katherine Feemster

• GitHub — @katherinejenniferhsfeemster
• Live site — katherinejenniferhsfeemster.github.io/scientific-visualization-paraview-portfolio
• Location — open to remote / contract

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_{Built diff-first, editor-second. Every figure on this page is produced by code in this repo.}