Summary
Fernando Zigunov is an Assistant Professor and experimental aerodynamics researcher with a PhD in Mechanical Engineering and nine years of applied research and industry experience. He develops advanced flow visualization, control, and experimental machine-learning techniques for subsonic to high-speed, variable-density flows, with recent appointments at Syracuse University and Los Alamos National Laboratory. Prior to academia he spent eight years leading design, R&D, and project management for industrial refrigeration systems, bringing rigorous systems integration and field-tested engineering practices to lab-scale experiments. Equally comfortable making GPUs "roar" for data-driven experiments and hands-on diagnostics like PIV and high-speed imaging, he blends experimental rigor with pragmatic design thinking. Colleagues rely on him for tackling messy, multidisciplinary problems where hardware, software, and real-world constraints intersect.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at Florida State University
Exchange student Mechanical Engineering, Exchange student Mechanical Engineering at University of Southern California
Técnico Eletrotécnica, Técnico Eletrotécnica at Frederico Guilherme Schmidt
Bacharel em Engenharia Mecânica Engenharia Mecânica, Bacharel em Engenharia Mecânica Engenharia Mecânica at Unisinos
Portuguese, English