URAP

Peng He - Professor, UC San Francisco

Status: Current Term Now Closed     Weekly Hours: to be negotiated     Location: Off Campus

This project provides a hands-on introduction to benchmarking or advancing state-of-the-art computational tools used in single-cell and spatial transcriptomics analysis. With the rapid growth of available software and datasets, there is a pressing need to evaluate, compare, and optimize tools across a wide range of...

Peng He - Professor, UC San Francisco

Status: Current Term Now Closed     Weekly Hours: to be negotiated     Location: Off Campus

The map of cells in our body is far from being complete. This project is a computational and conceptual exploration of human biology through the lens of integrated single-cell atlases. Students will collect and reanalyze published single-cell and single-nucleus RNA-seq datasets to discover rare or underappreciated...

Peng He - Professor, UC San Francisco

Status: Current Term Now Closed     Weekly Hours: to be negotiated     Location: Off Campus

This project investigates how cells behave and interact in their native environments by analyzing spatial gene expression data. Interns will use Visium and Xenium spatial transcriptomics datasets to identify tissue microenvironments, reconstruct 3D spatial maps, and apply computational tools like NicheFormer, and contribute to research articles by generating publication-grade...

Peng He - Professor, UC San Francisco

Status: Current Term Now Closed     Weekly Hours: 9-11 hrs     Location: On Campus

This project focuses on the discovery, optimization, and interpretation of gene signatures in massive single-cell and spatial transcriptomics datasets. Students will contribute to the development of scalable computational methods to extract meaningful biological patterns across thousands of samples and millions of cells. The research involves both algorithm development and...