Vincent Cheng
Research Intern at METR
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolVincent Cheng is a research-oriented computer vision engineer with a decade of hands-on experience spanning academic and applied AI work from San Diego. He currently contributes to METR on evaluation execution and participates in the Cambridge AI Safety Hub, where he has implemented core ML building blocks and mechanistic interpretability papers from scratch. Vincent has blended public-facing science communication experience as a researcher for Veritasium with rigorous selective programs like the Atlas Fellowship and Ross Mathematics, reflecting both breadth and depth. Comfortable across computer vision, deep learning, and signal processing, he’s equally at home writing production evaluations and reimplementing foundational models and circuits to probe model behavior. Notably, he’s pursued mathematical depth through programs at Ross and formal study at UC San Diego and Cornell, signaling a strong theoretical foundation beneath his applied research.
10 years of coding experience
University of California, San DiegoBachelor of Science - BS, Bachelor of Science - BS at Cornell University
Github Skills (66)
calibration9
ros8
keyframe8
limiting7
streaming6
adapter6
docker6
nginx6
bandwidth6
axis5
nvidia-docker5
sensor5
autonomous-driving5
3d-object-detection5
self-driving-car5
Programming languages (6)
Github contributions (5)
wuyuanmm/SurveillanceCameraAutoCalibration
Nov 2018 - May 2019
Algorithm for monocular ip camera to autocalibrate itself by using street pederstian and vehicle
Contributions:32 commits in 5 months
axiszonemindercameraip-cameravehicle
vincentcheng62/nginx_streaming_server
Feb 2018 - Nov 2018
Contributions:72 pushes, 1 branch in 9 months
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