Research
This is where I work through the core question behind my practice: how adaptive systems should behave in ways that are coherent, trustworthy, and governable.
Current Themes
Adaptive Systems and Governance
How adaptive systems should behave under uncertainty, and what makes adaptation stable, legible, and trustworthy over time.
Personality-Governed Interaction
How personality shapes acceptable variation in system behavior, and how adaptation can stay aligned with individual and collective patterns.
Affective Resonance and Experiential Fit
Why systems can detect affect accurately yet still adapt poorly, and what makes adaptation feel coherent rather than merely responsive.
Human-Centered Computing
How technical systems remain understandable, governable, and usable in real human settings.
My PhD research focuses on adaptive media systems and experiential fit: why systems that recognize affect can still adapt in ways that feel off, and how personality and governance can help explain what makes adaptation coherent in practice.
From Ideas to Systems
This research does not sit apart from practice. It directly informs how I design workflows, define agent boundaries, and structure governance in operational systems.