Research Portfolio
My research explores the intersection of AI-mediated inquiry, recursive methodologies, and qualitative research frameworks. My work investigates how AI can serve as a collaborative partner in research and creative processes, and how those processes can be made rigorous, reflexive, and methodologically sound.
Publications
Recursive Cognition in Practice
International Journal of Qualitative Methods — September 26, 2025
Abstract: This article introduces Recursive Cognition in Practice (RCIP) as a structured, AI-mediated dialogue method. It demonstrates how AI can serve simultaneously as co-writer, co-theorist, and co-analyst — recursively producing both knowledge and its own methodology in real time. The work challenges conventional epistemology and authorship norms, providing a theoretical and methodological foundation for AI-assisted scholarship.
Key Contributions:
- Novel methodological framework for AI-human collaboration in research
- Theoretical foundation for recursive cognition as scholarly practice
- Practical implementation of co-authorship with AI systems
- Epistemological implications of human-AI knowledge co-construction
Research Interests
- AI-mediated qualitative research methodologies
- Recursive cognition and reflexive inquiry
- Human–AI co-authorship in knowledge production
- Post-qualitative and affect-driven research frameworks
- Epistemological and ontological implications of AI dialogue
- Mixed methods approaches to recursive, AI-assisted inquiry
Statement of Purpose
My research aims to legitimize and advance AI-assisted scholarship by developing rigorous, recursive methodologies that foreground emotional reflexivity, epistemic entanglement, and methodological innovation. I'm particularly interested in how AI-mediated dialogue challenges traditional assumptions about authorship, agency, and the production of knowledge — ultimately reimagining research as a co-constructed, dynamic process.