Kyle Nguyen

The paper introduces TOPAZ, a framework that uses topological data analysis and Bayesian methods to infer agent-based models from spatiotemporal cellular data, showing it can accurately recover model parameters and distinguish between models.

This paper develops a generalized resource-allocation growth law to model prostate cancer responses to intermittent androgen deprivation therapy, showing it predicts treatment outcomes and adapts to different schedules.

This study uses automated dendrite tracing and categorization to show that aging and cold shock cause distinct dendritic beading patterns driven by branching history and systemic effects, respectively.