Song Wu

Song Wu is Associate Professor in Applied Mathematics and Statistics at Stony Brook University, leading the Wu Lab focused on statistical genomics and bioinformatics. His research integrates statistics with genetics to analyze complex traits using next-generation sequencing data, microarray technologies, and longitudinal analysis methods.

His recent publications highlight research in:

• Statistical methods for RNA-seq and isoform expression analysis
• Cancer risk modeling and biomarker discovery
• Neurovascular regulation of hippocampal neurogenesis
• High-throughput barcode clustering algorithms
• Multi-locus genetic mapping approaches