Alexander V. Hillsley

This paper introduces sOrganellomics, a method to map cell state diversity and metabolic adaptation in tissues using spatial imaging and machine learning, revealing new insights into hepatocyte organization and metabolic changes under stress.

The paper presents a multimodal perturbation atlas using CRISPR knockouts in A549 cells, combining microscopy, phase imaging, and scRNA-seq to assess phenotypic resolution.

This paper evaluates Tabular Foundation Models against specialized models for predicting cellular perturbation responses across multiple biological scales and tasks.

This paper introduces a Bayesian method to estimate the number of fluorescent emitters in diffraction-limited spots, showing improved accuracy over existing methods.

This paper demonstrates genetic control of radical crosslinking in a hydrogel using extracellular electron transfer from Shewanella oneidensis, showing that bacterial genetics influence hydrogel properties like stiffness and crosslinking rate.