Research Activities
Genome-wide association studies (GWAS) for the identification of germline variants associated with diseases, other binary phenotypes and quantitative traits.
Transcriptomic profiling for coding and non-coding RNAs biomarker discovery and regulatory pathway analysis
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.
Development of bioinformatics tools for Big Data analysis.
