Institute of Data Science for Oncology - Computational Pathology - Yinyin Yuan Group - Department of Translational Molecular Pathology

Advisor: Nicholas Navin, PhDReconstructing mutational lineages in breast cancer by multi-patient-targeted single cell DNA sequencing- Leveraged WEX and single cell multi-omic Mission Bio data to create a unique scDNA sequencing approach for TNBC- Developed machine learning approaches to delineate clonal substructure in integrated single cell data (scDNA, scCNV)- Utilized custom computational phylogenetic methods to reconstruct annotated mutational and copy number… Show more Advisor: Nicholas Navin, PhDReconstructing mutational lineages in breast cancer by multi-patient-targeted single cell DNA sequencing- Leveraged WEX and single cell multi-omic Mission Bio data to create a unique scDNA sequencing approach for TNBC- Developed machine learning approaches to delineate clonal substructure in integrated single cell data (scDNA, scCNV)- Utilized custom computational phylogenetic methods to reconstruct annotated mutational and copy number lineagesMapping the clonal architecture of adverse risk TP53-mutated AML using multi-omic single-cell sequencing- Integrated single cell genomics (scDNA, scRNA, scATAC) analyses to determine dysregulated clonal architecture in AML- Employed statistical machine learning and phylogenetic methods to discover actionable AML clinical biomarkers Advisor: Han Liang, PhD 2017 – 2018Integrated genomic analysis of the ubiquitin pathway across cancer types- Combined mRNA, SCNA, DNAm, and WEX analyses to produce an integrated pan-cancer genomic study of ubiquitin ligases- Developed an integrated consensus clustering method (mRNA, SCNA, DNAm) to predict patient survival across cancer types Show less