I’m a 23-year-old computer scientist with an interest in Artificial Intelligence and Cybersecurity. My work focuses on the intersection of these two fields, particularly in building intelligent systems that can defend against modern digital threats. I recently published my first research paper, "Advancements in Machine Learning-based Intrusion Detection in IoT: Research Trends and Challenges", where I explored how machine learning can enhance intrusion detection in IoT environments and tackled challenges like data imbalance and real-time detection. I earned my degree in Computer Science from Warsaw University of Technology, where I focused on machine learning, network security, and data-driven systems. I enjoy diving into complex problems and finding practical, scalable solutions that are both secure and ethically sound. Outside of research, I'm interested in competitive programming, I take part in CTF competitions, and mentor others interested in cybersecurity.
Technical University of Denmark
Kongens Lyngby, Denmark
Computer Science