Bio

"I study how AI infrastructure creates financial dependencies too entangled to unwind  and what regulators can do about it." 

I am a doctoral candidate in sociology at Binghamton University. My research examines the political economy of AI infrastructure surrounding how financial architectures, retirement systems, and cloud computing markets create structural barriers to governance. Situated within world-systems analysis, historical capitalism, and theories of hegemonic transition, my work asks whether the current AI infrastructure buildout represents a new mode of accumulation in which speculative finance embeds in material systems too entangled to unwind.

I also study how platform economies extract and assetize human attention, producing cognitive externalities, what I defined "brain rot" that feed back into demand for AI-mediated tools. This connects the financial and cognitive dimensions of my dissertation into a single recursive circuit.

My work has appeared in New Media & Society and Tech Policy Press. I have submitted expert analysis on AI infrastructure competition to the U.S. Department of Justice and Federal Trade Commission.