Materials Informatics
High-fidelity datasets, quality control pipelines, and structure-property analysis for reliable model development.
Approach
- Rigorous data curation and quality control
- Advanced machine learning and manifold methods
- Domain expertise integration
- Open-source development and reproducibility
Research Areas
Cancer Genomics
Manifold learning, biomarker discovery, and risk stratification models with clinically interpretable outputs.
Biological Component Modeling
Executable frameworks, AI-assisted tools, and simulation platforms for modular biomedical workflows.
Infrastructure
NVIDIA-powered infrastructure enables large-scale genomic analysis (10,000+ genes), real-time manifold computations, and multi-cohort validation pipelines.
Collaborations
- Academic research collaborations
- Clinical data analysis projects
- Component library development
- Tool co-development
Contact
Research inquiries: research@taiscience.org
Collaborations: collaborate@taiscience.org
Based in Taiwan and Dubai
Collaborations: collaborate@taiscience.org
Based in Taiwan and Dubai