Jong N is a PhD candidate in neuroscience based in Los Angeles with 11 years of experience blending quantitative analysis, algorithm design, and applied machine learning. He builds production-ready computer vision and deep learning solutions—from markerless 3D human localization on edge devices to predictive maintenance models for industrial sensors—and has accelerated graph traversal and tracking algorithms by orders of magnitude. His research background spans neural dynamics, bacterial tracking, and image-based orientation estimation, reflecting a rare fluency in both experimental lab work and software engineering. Comfortable deploying models on devices like NVIDIA Jetson and cloud services such as AWS SageMaker/Greengrass, he excels at turning complex sensor data into actionable systems. Notably, he has translated microscopy insights into ResNet-based position estimators with near-pixel accuracy, underscoring a knack for practical, high-precision perception work.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of Southern California
High School, High School at Hankuk Academy of Foreign Studies
Bachelor’s Degree, General Engineering: Applied Mathematics, Bachelor’s Degree, General Engineering: Applied Mathematics at Franklin W. Olin College of Engineering
Contributions:46 commits, 26 pushes, 1 branch in 5 months
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