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.
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