Summary
Pablo Moriano is an R&D Staff Scientist at Oak Ridge National Laboratory with 11 years of experience building AI- and data-driven systems that detect and mitigate anomalies in large-scale networked and cyber-physical systems. He blends deep expertise in machine learning, network science, and cybersecurity with a proven track record of translating research into deployable prototypes, having led $1.5M+ DOE-funded projects and contributed to multiple patents including a CAN intrusion detection system. Author of 30+ peer-reviewed articles with 550+ citations and a regular invited speaker, he bridges academic rigor and operational impact across automotive security, scientific computing, and intelligent transportation. Pablo has mentored 15+ students and postdocs, reviews proposals for the DOE, and serves as a frequent journal referee, reflecting strong leadership in research communities. Notably, his background spans both industry (multiple Cisco research internships) and national-lab scale deployments, enabling him to align advanced methods with real-world constraints. Based in Knoxville, he combines hands-on coding (Python, PyTorch, RAPIDS, C/C++) with systems thinking to deliver actionable decision-support for critical infrastructure resilience.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Informatics, Doctor of Philosophy (Ph.D.) Informatics at Indiana University Bloomington
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Pontificia Universidad Javeriana Cali
English, Spanish