Alejandro García is an Associate Professor in Madrid with a PhD in Computer Science and nine years of academic and research experience focused on data science, machine learning, deep learning and cybersecurity. His doctoral work centered on applying machine learning to detect and classify Android malware, blending practical security concerns with advanced pattern-recognition techniques. He has held visiting researcher positions at the University of Kent and progressed from teaching and research roles to a faculty appointment at Universidad Politécnica de Madrid. Comfortable bridging theory and application, he brings experience in both classroom instruction and hands-on research projects. An accomplished musician with formal training in clarinet, he combines analytical rigor with creative discipline—an uncommon cross-domain strength that informs his collaborative teaching and research style.
9 years of coding experience
5 years of employment as a software developer
PhD in Computer Science, Computer Science, Sobresaliente Cum Laude, PhD in Computer Science, Computer Science, Sobresaliente Cum Laude at Universidad Autónoma de Madrid
Charles III University of Madrid (Universidad Carlos III de Madrid)
Professional Intermediate-level Music Qualification., Clarinet, Professional Intermediate-level Music Qualification., Clarinet at Professional 'Victoria de los Ángeles' Conservatory of Music
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