# Extensive experience in using state-of-the-art and on-demand computational tools to interpret complex biological data, mainly genomics and clinical data. # Epigenomics and Transcriptomics (single cell and bulk) analysis, application of machine learning tools to learn patterns from data, modeling and simulations of biological systems.# Applications include identification of rare and pathogenic cell populations from single cell data, building gene signatures, patient stratification, supporting drug discovery pipelines, discovering biological mechanisms using top-down approaches.# I mainly use R programming environment for my work, have experience using MATLAB.