George Giannoulopoulos graduated from the Physics department of the University of Crete in 2015 with a preference of optional courses in the applied Physics field (Optoelectronics-Photonics, Electron Microscopy, Medical Physics etc). At 2015 he completed an internship at the Foundation for Research and Technology-Hellas (FORTH) as a developer of “hybrid intravital microscopic and tomographic imaging system based on the principles of Fluorescence Molecular Tomography (FMT)” to be used in the melanoma diagnosis field. At 2015 he took part in the “2nd Biophotonics and Molecular Imaging Summer School” which was organized by the Institute of Electronic Structure & Laser of FORTH with the collaboration of the Biology department of the University of Crete. From 2017 he is attending the postgraduate Master of Science program “Big Data & Analytics” of the Digital Systems department of the University of Piraeus, with a master thesis of “Analysis of medical images with the use of machine learning technics and deep learning neural networks”. Since 2018 he is a machine learning researcher at the Computational Biomedicine Research Lab with main objective the development of new pattern recognition and machine learning (Deep Neural Networks) technics for the classification of skin lesions. His interests include machine learning research, computer vision, cloud computing and data science topics.