3D Geometry • Reconstruction Algorithms • Generative Models
I work on high-fidelity 3D representations, differentiable geometric pipelines, and geometry-aware neural networks.
My research spans:
- 🧩 3D reconstruction & mesh generation
- 📐 Geometric processing, topology, and curvature analysis
- 💠 Hybrid 3D representations (meshes, voxels, SDF/UDF, sparse structures)
- 🚀 Large-scale 3D generative models
My goal is to build accurate, scalable, and mathematically grounded methods for 3D understanding and generation.
🎓 With a strong foundation in modern geometry, topology, and applied mathematics, I explore how mathematical structure can guide the next generation of 3D geometric intelligence.
📚 If you're working on 3D AI, geometry processing, or next-gen generative models, I’m always open to new ideas and collaborations.