Research · 3D reconstruction
3D Reconstruction Research · ASU Logos Lab
Exploring transformer models for 3D reconstruction and articulated physical models.
Read case studyRESEARCH / APPLIED MACHINE LEARNING
University research and personal experiments in 3D reconstruction, computer vision, graph learning, and generative models. These are research contributions, not claimed commercial deployments or publications.
Across this work, the recurring question is how models handle incomplete information: sparse views, missing relationships, or source material that must be retrieved before a system can reason usefully.
Research · 3D reconstruction
Exploring transformer models for 3D reconstruction and articulated physical models.
Read case studyResearch · Computer vision
Research pipelines for lunar imagery, occupancy networks, synthetic data, and few-view NeRF behavior.
Read case studyApplied machine learning · Graphs
Applied graph learning and vector search to investor-company relationships and unstructured investment data.
Read case studyMachine learning · Generative models
Hands-on model training experiments spanning approximately 100M-parameter language models and diffusion reproduction.
Read case studyASU LABS