Summary
Pilar Sobrino is an M&S Scientist with 13 years of experience applying evolutionary computation, AI and multi-agent systems to maritime and defense problems. With a PhD on fitness landscapes for real-coded optimization and a track record of building IEEE-standard interoperable simulation frameworks, she blends deep research expertise with hands-on software engineering for naval applications. At NATO's Centre for Maritime Research and Experimentation she has led development of VR/AR prototypes, wargaming toolsets and analysis/visualization frameworks to inform concept development and capability requirements. Her background spans full lifecycle software development, academic research and mentoring, and she has repeatedly translated metaheuristic methods into practical tools for stability, scheduling and autonomous systems. Notably, she combines theoretical insight into evolutionary algorithm behavior with pragmatic implementation of standards-based simulation architectures for real-world experimentation.
13 years of coding experience
9 years of employment as a software developer
PhD, Computer Science and artificial intelligence, PhD, Computer Science and artificial intelligence at Universidade da Coruña
Bachelor of Science, Computer Engineer, Computer Engineer, Bachelor of Science, Computer Engineer, Computer Engineer at Universidad de A Coruna
English, Spanish, French