Summary
Christian López is a CyberAI researcher and security data scientist with 11+ years designing and operationalizing AI-driven defenses and agentic architectures across industry, academia, and research. He specializes in AI security, adversarial machine learning, and threat modeling for LLMs and agent workflows, translating cutting-edge research into hands-on training (including TryHackMe labs) and practical detection systems for threats like botnets, ransomware, and deepfakes. As a university lecturer and thesis supervisor, he has mentored award-winning projects and bridged academic rigor with production engineering at companies such as Globant, Cisco, and Alethea. He has authored three books, spoken at DEF CON, PyCon and regional security conferences, and built MCP-style orchestration patterns for context-aware LLM investigations. Notably, he reduced detection latencies from days to hours with unsupervised telemetry models and has operationalized retrieval/assistant systems for enterprise LLM deployments. Based in Cali, Colombia, he combines hands-on ML system delivery with a strong focus on governance, safety, and adversarial robustness.
10 years of coding experience
1 year of employment as a software developer
Advancing Information Technology Innovation, Mobile Technology and entrepreneurship, Emprendimiento en tecnologías móviles, Advancing Information Technology Innovation, Mobile Technology and entrepreneurship, Emprendimiento en tecnologías móviles at Massachusetts Institute of Technology
Master in Computer Science and Telecommunications, Computer and Information Sciences, General, Master in Computer Science and Telecommunications, Computer and Information Sciences, General at Universidad Icesi
Spanish, English