Research

Research

I work at the intersection of applied machine learning and higher-education strategy — natural language processing, knowledge graphs, reinforcement learning, and optimization, applied to the problems institutions actually face: aligning curricula to the labor market, reading signal out of unstructured disclosure data, and allocating scarce resources like financial aid more effectively.

The work below spans peer-reviewed-style empirical studies, a critical review of frontier research, and applied simulations. Several of these directly inform Allocate, the higher-education optimization platform I'm building through PraxisIQ.