Bio
Guillermo Suarez-Tangil is Assistant Professor at IMDEA Networks Institute and Ramon Y Caja Fellow. His research focuses on systems security and malware analysis and detection. In particular, his area of expertise lies in the study of smart malware, ranging from the detection of advanced obfuscated malware to the automated analysis of targeted malware. Guillermo also holds a position at King’s College London (KCL) as an Assistant Professor, where he has been part of the Cybersecurity group since 2018. Before joining KCL, he has been a senior research associate at University College London (UCL) where he explored the use of program analysis to study malware. He has also been actively involved in other research directions to detect and prevent Mass-Marketing Fraud (MMF) and security and privacy in the social web.
Prior to that, he held a post-doctoral position at Royal Holloway, University of London (RHUL) where he was part of the development team of CopperDroid, a tool to dynamically test malware that uses machine learning to model malicious behaviors. He also has solid expertise in building novel data-learning algorithms for malware analysis. He obtained his PhD in smart malware analysis in UC3M with distinction. He received the FUNCAS Best National Student Academic Award—a highly competitive award given to the best Thesis in the field of Engineering between 2014-2015.