Christopher Tralie is an engineer-turned-mathematician and NSF Graduate Fellow pursuing a Ph.D. at Duke in applied geometry, topology, and geometric time series analysis with practical applications in music, video, and 3D shape evolution. With 14 years of engineering experience and a strong foundation from Princeton and Duke, he builds and implements signal-processing algorithms and prototypes—ranging from ROS-based robotic mapping to GUI-driven software at Lockheed Martin. He actively mentors undergraduates and is passionate about pedagogy, having taught a highly rated Digital 3D Geometry course and written numerous technical tutorials. Christopher combines rigorous theory with hands-on systems work, often translating advanced topological ideas into reproducible tools for real multimedia and sensor data problems.
14 years of coding experience
Master's of Science, Electrical and Computer Engineering, GPA 3.9, Master's of Science, Electrical and Computer Engineering, GPA 3.9 at Duke University
Bachelor of Science in Engineering, Electrical Engineering, Bachelor of Science in Engineering, Electrical Engineering at Princeton University
Contributions:68 commits, 60 pushes, 1 branch in 1 year 8 months
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Christopher Tralie - Ph.D. Student NSF Graduate Fellow