Pan-cancer Transcriptomic Analysis
NMF-based decomposition across large tumor cohorts to identify recurring cell-hub architecture and infer communication motifs through ligand-receptor integration.
NMF-based decomposition across large tumor cohorts to identify recurring cell-hub architecture and infer communication motifs through ligand-receptor integration.
Define the essential role of TP53RK in medulloblastoma by dissecting kinase activity versus KEOPS complex function using targeted mutagenesis, inducible degradation, and quantitative rescue assays of cell viability.
Engineering Bacillus subtilis for material adhesion and heavy-metal capture, combining molecular assembly, protein workflows, and system-level synthetic biology design.
Algorithmic prediction plus experimental validation for co-packaging and transfer events, with lifecycle-level mechanism tracking.
Deconvolution, cell-hub discovery, biomarker screening, and response stratification.
Integrated benchmark design, computational screening, and wet-lab validation.
Construct engineering, Golden Gate assemblies, and CRISPR marker strategies.
Immersive work on genomics, transcriptomics, and systems biology foundations.