Yang Li

Yang Li is an Associate Research Scientist in the Department of Cell Biology at Yale School of Medicine. They hold a PhD in Bioengineering from Clemson University (2020) and an MS in Optical Engineering from Tianjin University (2015). Their research focuses on integrating statistical methodologies with biomedical applications, particularly in cancer heterogeneity analysis, clinical trial design, and single-cell transcriptomics. Current work emphasizes model selection uncertainty, adaptive randomization techniques, and prior information integration in genomic studies.

Education:

• PhD in Bioengineering, Clemson University (2020)
• MS in Optical Engineering, Tianjin University (2015)

Research interests span:

• Statistical model development for biomedical data
• Cancer heterogeneity through gene expression networks
• Adaptive clinical trial methodologies
• Single-cell data analysis

Their recent publications highlight innovations in covariate-adjusted randomization and penalized estimation techniques for imputed datasets.

Lab affiliations include the Bewersdorf Lab, where they collaborate on spatial omics and multi-omics sequencing technologies. No awards explicitly listed, but their active grant-funded research includes NIH-supported projects on statistical methods for clinical trials and genomic analysis.