Stefano Cacciatore completed an International Ph.D. program in Structural Biology at the University of Florence in 2012 and received an MSc in Biotechnology degree and a BSc in Biotechnology degree at the University of Florence in 2007 and 2005, respectively. Since 2021, he has been a Bioinformatics Programme Officer at ICGEB, Cape Town, South Africa. His research focuses on the development of bioinformatics tools and statistical approaches to facilitate the interpretation of data generated from high-throughput platforms, including metabolomics and genomics data. His work has been concentrated on developing exploratory approaches to data mining, especially those geared toward the discovery of patterns in the data for exploratory tasks. Cacciatore developed KODAMA as a method for performing feature extraction on noisy and high-dimensional data, such as transcriptomic and metabolomics data.