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Research Interests

My research explores how complex systems sense, represent, and act under uncertainty. I am interested in the principles that connect dynamics, computation, and interaction across physical, biological, and artificial systems. By combining mechanistic reasoning with data-driven inference, I seek to develop forms of intelligence that are adaptive, interpretable, and grounded in real-world interaction.

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Dynamics of Intelligence

Understanding how hidden states, temporal structures, and feedback give rise to observable behavior. I am interested in models that reveal how information is represented and transformed within complex systems.

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Adaptive Computation

Exploring how systems learn from incomplete information, reorganize under
changing conditions, and maintain reliable behavior through adaptation, 
generalization, and robust decision-making.

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Embodied Intelligence

Investigating intelligence as an ongoing interaction between perception, action, physical embodiment, and the environment, rather than as an isolated computational process.

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