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reproducible bioinformatics workflows and computational tools to process, analyze, and interpret high-throughput sequencing data, including genomics, transcriptomics, metabarcoding, and metagenomics datasets
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multidisciplinary research projects. • Analyze, integrate, and interpret genomic, transcriptomic, proteomic, lipidomic, spatial multi-omics, imaging, and other high-dimensional biological datasets. • Identify
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genomic, transcriptomic, proteomic, lipidomic, spatial multi-omics, imaging, and other high-dimensional biological datasets. • Identify candidate molecular pathways, disease mechanisms, therapeutic targets
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biomarkers through integrative computational analyses. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible
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. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization
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, CRISPR-based approaches, transfection/transduction, and in vitro bacterial infection models. Apply omics approaches (e.g., epigenomics, transcriptomics, proteomics) to support drug targetidentification and
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projects addressing the molecular understanding of breast cancer through the analysis of single-cell genomics, spatial genomics, transcriptomics and imaging datasets. Following directions from
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integrate high-dimensional molecular analyses, including single-cell RNA sequencing, spatial transcriptomics, proteomics, immune repertoire sequencing, and other multi-omics technologies. Collaborate with
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to: · Characterize the genomic, epigenomic, and transcriptomic landscapes of synovial sarcoma using single-cell multi-omics approaches. · Investigate the epigenetic evolution of tumors and mechanisms underlying
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genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem