Daniel Uroz is a systems analyst and postdoctoral researcher in cybersecurity at the RME Group, University of Zaragoza, with a Ph.D. in Computer Science and over a decade of hands-on experience in malware analysis, reverse engineering, and digital forensics. His research focuses on emerging trends in malware evolution, bridging academic rigor with practical investigations carried out across public and private sectors. Experienced in DFIR workflows, he combines deep technical reverse-engineering skills with forensic methodologies to support cybercrime mitigation and intelligence. Open to remote or hybrid roles based in Zaragoza, he brings both research leadership and operational experience to teams tackling advanced persistent threats. An under-the-radar strength is his ability to translate academic findings into actionable detection and response capabilities for real-world incident response.
10 years of coding experience
M.S., Research in Cyber Security, M.S., Research in Cyber Security at University of Le贸n
Ph.D., Computer Science and Systems Engineering, Ph.D., Computer Science and Systems Engineering at University of Zaragoza
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