3D Capture Validation
Validate 3D facial capture systems for accuracy, repeatability, geometric precision, landmark reproducibility, and clinical relevance.
Photogrammetry & 3D Rendering
Build validation pipelines using photogrammetry, 3D rendered images, RealityCapture, Agisoft Metashape, Blender, and Autodesk Maya.
3D Digital Endpoints Development
Design and scale 3D digital endpoints, biomarkers, and facial aesthetics outcome measures from mesh and point cloud data.
Machine Learning & AI
Develop supervised learning, self-supervised learning, and geometric deep learning models using PyTorch, TensorFlow, and scikit-learn.
3D Data Processing
Work with 3D meshes, point clouds, depth maps, surface reconstruction, UV mapping, texture baking, and feature extraction.
Statistical Validation
Apply ICC (Intraclass Correlation), Bland-Altman Analysis, Bootstrap Methods, A/B Testing, and benchmarking frameworks.
Programming & Tools
Strong expertise in Python, NumPy, Pandas, SciPy, SQL, Open3D, trimesh, PyMeshLab, and PCL.
Clinical & Medical Imaging Domain
Preferred experience in aesthetics, dermatology, medical imaging, digital health, clinical trials, and regulated environments.
MLOps & Reproducibility
Use Git, DVC, MLflow, and cloud platforms (AWS, GCP, Azure) for reproducible and scalable workflows.
Cross-Functional Leadership
Collaborate with clinical scientists, product managers, 3D capture specialists, and regulatory teams to deliver validated 3D solutions.
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