Yigit Yucesan is a Senior Data Scientist with seven years of experience bridging mechanical and aerospace engineering with physics-informed machine learning for industrial prognostics. He holds a PhD in Mechanical Engineering and spent his postdoctoral tenure at Oak Ridge National Laboratory developing ML-driven health management methods for complex equipment before transitioning to Ford Otosan. His background as a structural engineer at Turkish Aerospace Industries and research/teaching roles at the University of Central Florida give him a rare combination of hands-on systems knowledge and rigorous academic foundations. Yigit excels at turning domain physics into predictive models that improve reliability and maintenance decision-making, and he brings practical production-focus from industry deployments alongside deep research expertise.
7 years of coding experience
7 years of employment as a software developer
Master's degree, Mechanical Engineering, 3.79/4.00, Master's degree, Mechanical Engineering, 3.79/4.00 at TOBB Ekonomi ve Teknoloji Üniversitesi
Bachelor's degree, Aerospace, Aeronautical and Astronautical Engineering, 2.74/4.00, Bachelor's degree, Aerospace, Aeronautical and Astronautical Engineering, 2.74/4.00 at Orta Doğu Teknik Üniversitesi
Doctor of Philosophy - PhD, Mechanical Engineering, 3.8, Doctor of Philosophy - PhD, Mechanical Engineering, 3.8 at University of Central Florida
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