Research Software Contributor
- Developing a Python-based skin-to-muscle registration pipeline for 16k+ vertex anatomical meshes, leveraging Signed Distance Functions (SDFs), computational geometry, and Autodesk Maya to automate biomechanical modeling workflows.
- Implementing and evaluating mesh registration, deformation, and collision-handling algorithms across 43 anatomical structures, utilizing K-nearest surface blending (K=5), Laplacian smoothing, and optimization techniques for anatomically accurate skin attachment.
Python · Computational Geometry · Signed Distance Functions · Autodesk Maya · Mesh Processing