Background

I work in bibliometrics and research systems analysis — the study of how knowledge is produced, structured, and evaluated at scale. My focus is not individual publications but the systems that generate and assess them: citation networks, institutional portfolios, evaluation frameworks, and the infrastructures that make research legible to funders, institutions, and researchers themselves.

Over the past several years, this work has moved toward the intersection of knowledge infrastructure and AI-assisted analysis. The question is no longer only how to measure research outputs, but how to represent, decompose, and evaluate knowledge under conditions of increasing automation — where AI generates content, mediates analysis, and introduces new forms of opacity into systems that were already difficult to inspect.

I have developed methods and frameworks for structured evaluation of research systems, built tools to support specific analytical tasks, and written on visual and methodological questions that sit adjacent to the formal work on this site. The through-line is an interest in making analytical reasoning explicit, inspectable, and adaptable rather than fixed and opaque.

I am currently in professional transition and available for new engagements in research evaluation, bibliometric analysis, knowledge infrastructure design, and AI-assisted analytical workflows.