Summary
Pablo Nanez is a Senior Systems Engineer with nine years of applied engineering and research experience, currently at Lockheed Martin after a multi-year tenure at Philips where he helped develop patented ventilation and patient stratification algorithms. He specializes in Model-Based Systems Engineering, MATLAB/Simulink/Simscape and Python to design, prototype, and verify multiphysics and hybrid-system models for medical devices and transportation systems. Pablo pairs deep academic training—a PhD focused on hybrid DAE systems—with hands-on implementation of simulation tools, automated data pipelines, and requirements engineering across international teams. He is motivated by mission-driven healthcare innovation and brings a practical inventor’s mindset, evidenced by multiple invention disclosures and cross-domain product integrations. An uncommon strength is his track record translating advanced hybrid-systems research into production-ready simulations and clinical-grade algorithms.
9 years of coding experience
11 years of employment as a software developer
B. S. in Industrial Automation Engineering,, B. S. in Industrial Automation Engineering, at Universidad del Cauca
Universidad de los Andes
Professional Certificate, Quantitative Methods in Systems Engineering, Professional Certificate, Quantitative Methods in Systems Engineering at MIT xPRO
Spanish, English, Italian