Engineering evidence for systems that matter.

We connect medical images, finite-element analysis, uncertainty assessment, and interpretable prediction to study individualized mechanical risk.

• Medical-image-based modeling
• Finite-element analysis
• Uncertainty quantification
• Physics-informed prediction

We develop and evaluate assistive and interventional systems where mechanics, sensing, human interaction, and safety evidence must work together.

• Continuum robotics
• Haptic substitution
• Device mechanics
• Human-centered systems

We organize simulation and AI evidence around context of use, model risk, verification, validation, uncertainty, and lifecycle assurance.

• ASME V&V 40
• In silico trials
• Regulatory science
• AI/ML credibility