John Long

Co-Founder CTO at Qwake Technologies

New York, New York, United States
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Summary

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Senior
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John Long is a neuroscientist-turned-technology entrepreneur and CTO with 12 years of experience building end-to-end systems that fuse neuroscience, computer vision, and AR to improve first-responder safety. As co-founder and head of technology at Qwake Technologies he led development of C-Thru, a WiFi-enabled platform that helps firefighters see through smoke by combining neuro-inspired algorithms with real-time vision and command-and-control integration. His background as a postdoctoral researcher at NYU and Rutgers yielded a markerless 3D motion-capture system synchronized with neural recordings, informing his work on reinforcement-learning, SLAM, and embodied AI. Based in New York, he bridges rigorous lab science and product engineering, often turning curiosity-driven projects into practical tools for high-risk, real-world use.
code12 years of coding experience
bookPh.D. Neuroscience, Ph.D. Neuroscience at University of California, Berkeley
languagesEnglish, Chinese
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Github Skills (11)

kinesis-video-streams9
audio8
cpp7
robotics7
quadtree6
physics-engine6
biomechanics6
aws-iot5
aws3
parser2
gpu2

Programming languages (5)

JavaC++CJupyter NotebookCuda

Github contributions (5)

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jlong29/QuadTreeGPU

Mar 2022 - Feb 2026

An implementation of a Quad Tree optimized for the GPU
Contributions:1 PR, 2 pushes, 2 branches in 3 years 11 months
gpuquadtree
jlong29/ORB_SLAM2

Jun 2019 - Mar 2021

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Contributions:5 pushes, 1 branch in 1 year 9 months
rgb-dstereovisionintrinsicsloop
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