
Omics and Related Technologies
RESEARCH AREA
Development of high-throughput CRISPR screening platforms, integrating machine learning-guided library design with large-scale genetic perturbation experiments in different biological contexts
Characterization of the functional landscape of single nucleotide variants (SNV) in disease models by using large-scale CRISPR screens and quantifying variant effects via phenotypic and transcriptional readouts
Identification of post-translational and gene-read mechanisms in disease and therapeutic applications.
Regulation of gene expression by transient or constitutive modulation of genes to provide insights into gene function and therapeutic potential in disease models
Post-transcriptional regulation of protein translation by synthetic lncRNA SINEUPs to restore protein levels in haploinsufficient-loss of function genetic diseases
