Summary
Kaylan Burleigh is a systems engineer with 11 years of experience applying physics-rooted rigor to electro-optic systems, digital signal processing, machine learning, and high-performance computing at Raytheon Technologies. With a PhD in Astrophysics from UC Berkeley and a BS in Physics/Astronomy, Kaylan bridges deep scientific training and practical engineering to deliver robust, data-driven solutions for complex sensing problems. He is known for fast learning, clear collaboration, and a positive, ethical approach that helps cross-functional teams move from concept to demonstrable system performance. Comfortable writing production software and statistical models alike, he pairs quantitative intuition with pragmatic development skills. Based in Tucson, AZ, he brings an innovative, interdisciplinary perspective—combining optics, statistics, and compute—to accelerate real-world defense and aerospace systems.
11 years of coding experience
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of California, Berkeley
The University of Arizona