Thorough, analytical and curiosity-driven scientist, with a multidisciplinary background in biology and computer science, and a long-term commitment and experience in the field of bioinformatics and biology of ageing (since 2005). Experienced group leader, supervising a group of more than 15 people, and a demonstrated track record in the research industry. Currently focusing on using bioinformatics and machine learning to integrate large screening age-related datasets and developing novel systems biology methodologies in ageing research.Skilled in Biology of Ageing, Bioinformatics, Systems Biology, Network Biology, and Synthetic Biology. Formal background in Biology of Ageing (PhD), Biochemistry and Molecular Biology (MSc) and Computer Science (BSc)= Research interests =Biology/genetics of ageing, longevity and age-related diseases • Prediction of single/multi longevity regulators • Auto-immunity • Biomarker profiling for healthcare • Bioinformatics (OMICS - Genomics, epigenomics, transcriptomics, systems biology, network biology, comparative biology) • Synthetic biology (gene circuit design)= Expertise in =• Biology/Genetics of ageing and longevity• Bioinformatics, including: OMICS data analysis (genomics, transcriptomics, methylomics), network biology and system biology, comparative biology, gene expression analysis, phylogenetics and evolutionary biology, biostatistics, etc• Computer science, including: algorithms, databases, artificial intelligence, network and internet applications, distributed applications and cloud computing• Genomics, epigenomics, transcriptomics• Cell and molecular biology; Synthetic biology