Jeremy’s computational research lab leads the development of machine learning-based models for the analysis of spatial omic data. We caught up with Jeremy at AACR 2024 to discuss his lab’s work, get ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

Graduate Certificate in Spatial Data Science teaches students how to use tools such as Geographic Information Systems (GIS), statistical modeling, machine learning, and data visualization. Students ...

Apple at WWDC announced visionOS 26, bringing spatial widgets, dramatically improved Personas, and new collaborative ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

In these graphs, nodes represent gene expression data, while edges reflect spatial adjacency. Using an advanced approach called graph contrastive learning, STAIG identifies key spatial features ...