Precision medicine is an innovative approach to the treatment of patients. It is based on the integration and analysis of multi-modal data in order to make patient-specific profiling and consequently highly targeted diagnostic and therapeutic choices. However, the large amount of data produced by modern biomedical devices, that enable precision medicine, is extremely hard to process through conventional analysis methods. The use of sophisticated models and algorithms is therefore of fundamental relevance to the understanding of complex phenomena, such as biological ones.
Aldo Pastore graduated in Biomedical Engineering from the University of Genoa and from the same university received a Master’s degree in Bioengineering with a specialization in Neuroengineering. During his Master’s degree, he spent one year in Switzerland at the laboratories of the Ecole Polytechnique Fédérale de Lausanne at the Biotech Campus (Geneva, Switzerland). During his master’s degree, he also received an additional diploma of excellence from the Institute of Higher Studies of the University of Genoa, with a specialization in Information and Communication Technologies.
After graduation, he then obtained a PhD in Translational Neuroscience from the University of Ferrara and the Istituto Italiano di Tecnologia (IIT), where he deepened his knowledge of multidimensional data and biological signal analysis and modeling of machine and deep learning algorithms. He then joined the Bioinformatics team at the Fondaziona Pisana per la Scienza, contributing to the development of innovative analysis methods to apply in traslational research.
Aldo’s scientific interest is focused in the statistical-exploratory investigation of multivariate biological data, such as omics data (transcriptomics, genomics and proteomics) and imaging data (fluorescence microscopy) obtained from pathological samples, mainly cancer, and the complementary development of robust and reproducible predictive models for precision medicine.