Invention: ML Pipeline for Genome-Wide Association Studies (Patent)
Published:
Co-authored a patent (US20240120024A1) for a machine learning approach that significantly improves causal gene identification in GWAS. 
Published:
Co-authored a patent (US20240120024A1) for a machine learning approach that significantly improves causal gene identification in GWAS. 
Published:
Developed an R package and a web-based visualization tool for the analysis and integration of epigenomic data within 3D chromatin networks. 
Published:
Developed an interactive geospatial platform for the Catalan Agency for Health Quality and Evaluation (AQuAS) to visualize and analyze regional health system indicators. 
Published:
Module for annotating cancer-related single-nucleotide variants at protein-protein interfaces. 
Published:
Developed an automated image processing algorithm using Python and OpenCV to measure uvea thickness and monitor uveitis evolution in OCT scans. 