Human mental states cannot be understood fully through isolated indicators. We aim to study interactions among psychological, physiological, cognitive, behavioral and environmental dimensions while respecting the distinct meaning and limitations of each measurement.

We explore how observable variables may reflect underlying constructs, using statistical models and validation methods to evaluate proposed structures.

Repeated observations can reveal within-person variation, context-dependent patterns and trajectories that single assessments may miss.

We investigate the potential of computational and adaptive models for understanding complex relationships and detecting meaningful change, while addressing uncertainty, interpretability, bias and validation.

Research ideas are translated into instruments, protocols and systems through iterative testing. Scientific claims must remain proportionate to the available evidence.