Ibéria Medeiros is an Associate Professor in the Department of Informatics at the Faculty of Sciences of the University of Lisboa. She is an integrated researcher of the LASIGE - Large-Scale Informatics Systems Laboratory and a member of the Navigators research group. She is also an IEEE member. She holds a PhD degree in Computer Science and an MSc degree in Informatics, both from the Faculty of Sciences of the University of Lisboa. Her main research focuses on software security, cybersecurity, and machine learning. She investigates techniques and models, resorting to machine learning, to improve the code security of web applications and programs deployed in industrial products, once web applications are the most used forms of accessing services, and industrial products must be reliable systems and work properly. She is the author of tools for software security to detect and remove vulnerabilities in web applications, correcting their code, and of mechanisms and systems for cybersecurity to enrich the quality of threat intelligence (from OSINT) and the detection of incidents and intrusions. Her research interests are: software security, vulnerability detection, code correction, cybersecurity, cyber threat intelligence, intrusion detection, runtime protection, machine learning, natural language processing, and data mining. She was the principal investigator of the SEAL national project and the XIVT European project (ITEA and P2020), and participated in international and national projects, including the ADMORPH, DiSIEM, SEGRID, and MASSIF European projects, and the REDBOOK national project.