Research Scientist

• Research and develop AI-assisted geometry processing pipelines for UV unwrapping, remeshing, geometric reconstruction, and shape generation.
• Design learning-based representations for geometry (meshes, point clouds, implicit fields) that capture structure, topology, and correspondence.
• Develop token- or patch-based encoders for shape representation, enabling compression, editing, and reconstruction from learned codes.
• Integrate learned geometry modules into generation and reconstruction frameworks, ensuring geometric validity and multi-view consistency.
• Build training and evaluation pipelines with quantitative metrics for distortion, reconstruction fidelity, and mesh topology quality.
• Collaborate with graphics, simulation, and ML teams to bring new geometry models into creative and production pipelines.
• Contribute to publications, benchmarks, and internal best practices in geometry + AI research.

Research Scientist – Geometry, AI Assisted

Research Scientist – Controlled 3D Generation

Research Scientist – VLM Generalist