Applies bioinformatics and machine learning algorithm methodologies to explore high-dimensional genomic datasets with an emphasis on single-cell and survival analyses.
Over the past ten years, I specialized myself in big data analysis (i.e. Machine-Learning) applied to Genomics, Semantics and Next Generation Sequencing (NGS) data linked to single-cell and cancer research. I obtained my PhD in Computational biology and Evolutionary Genomics at Ecole Centrale de Lyon (Lyon University), France. I worked both in academics (University of Hawaii Cancer Center, UCSD) and in a Startup company (R&D engineer) developing and using my research skills on fundamental and more concrete problematics. My current work involves working with single-cell ATAC-Seq and RNA-Seq datasets, multi-omic datasets linked to survival, new methods, pipelines and data visualisation interfaces development.
Allow essential cookies
Required for basic site operations.
Allow analytics cookies
Used to analyze web traffic to improve the user experience.
Allow marketing cookies
Used to deliver personalized information and tailor communications.