Life is all about learning and research. I'm an experienced machine learning researcher (13+ years) with expertise in data sciences, complex networks, systems biology and computational biology -- working on multi-omics data integration to understand disease vagaries, identify therapeutic targets, and gain novel biological insights using data-driven techniques. I design, develop and deploy data-driven methods (17+ tools) to leverage the power of big biomedical data to extract meaningful biology. I’m a seasoned researcher (IEEE Senior Member) with a distinguished publication record of 100+ peer-reviewed articles cited >3,750 times and have an extensive background in machine learning and computational biology. I have published papers in top journals including Nature Medicine, Cell, Nature, Cancer Discovery, Nature Methods, Nucleic Acids Research, Science Immunology, Nature Communications, Briefings in Bioinformatics & Bioinformatics etc. I specialize in scientific project management, team leadership, and cross-cultural collaboration, with experience managing and participating in international research projects (winning DREAM Challenges) and developing collaborations with scientists from numerous institutions across three different continents. My ultimate goal in life is to see research getting translated into clinic and help save lives of patients.