I am a researcher in cognitive science studying the mind from the neural and computational level, to the social and cultural.
My work is guided by the conviction that no single level of analysis is sufficient on its own: understanding the mind requires bridging mechanisms in the brain with models of cognition, lived experience, and the collective structures that shape meaning.

Current Affiliations:
Research Assistant – Social Perception & Cognition Lab
Writer and Psychosocial Support – Wanabqa
Research Mentee – Stanford MMHIP Lab

Methodologically, my work bridges theoretical and experimental paradigms through computational modeling (including deep learning, ACT-R–style architectures, and Bayesian predictive frameworks) alongside mixed-methods studies with human participants.
I apply these approaches across four intersecting domains:
Political and Religious Cognition: How beliefs, identities, and social structures both shape and are shaped by cognitive processes.
Pedagogical Theory: The cognitive dynamics of didactic versus dialectic learning, and what cognitive science contributes to models of teaching, reasoning, and dialogue.
Consciousness and Phenomenology: Developing mathematically grounded models that bridge Bayesian inference, predictive processing, and higher-order theories of mind
Social Consequences of AI: Examining how LLMs shape belief formation, engage in dialectical reasoning, and what AI reveals (and doesn’t) about human cognition.


