Carter Fang
Senior Research Scientist at Waabi
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolCarter Fang is a Senior Research Scientist and PhD candidate based in Toronto with a decade of experience at the intersection of computer vision, robotics, and autonomous driving. At Waabi he has advanced motion forecasting research and maintained large-scale training pipelines, tackling domain adaptation and catastrophic forgetting to boost real-world transfer. His background spans event-camera perception, high-speed object detection, and sensor fusion across industry and top academic labs, including CVPR-recognized work on data-driven keypoint tracking. Trained at ETH Zürich and UBC with a rigorous mechatronics and robotics foundation, he combines strong systems-level engineering (C++/Python) with hands-on experimentation in perception hardware. Colleagues describe him as a research-driven engineer who moves ideas from papers into robust, production-ready training systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering - Mechatronics Specialization, 4.30/4.33, Bachelor’s Degree, Mechanical Engineering - Mechatronics Specialization, 4.30/4.33 at The University of British ColumbiaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of TorontoMaster's, Robotics, Systems, and Control, 5.8/6.0, Master's, Robotics, Systems, and Control, 5.8/6.0 at ETH ZürichCerticate in Front End Development, Computer Software Engineering, Certicate in Front End Development, Computer Software Engineering at freeCodeCamp
English, Chinese, Chinese, kaipingnese
Github Skills (35)
opencv10
python10
image-processing10
deep-learning10
computer-vision10
machine-learning9
visual-odometry8
tensorflow8
data-science7
neural-network7
robotics6
ros5
pipeline5
deep-neural-networks5
camera5
Programming languages (3)
Github contributions (5)
ctyfang/amz-targetless-cal
Apr 2020 - Jul 2020
Contributions:71 commits, 10 PRs, 51 pushes in 2 months
JonasFrey96/Visual-Odom-Pipeline
Nov 2020 - Jan 2021
Implementing a Visual Odometry Pipeline for the course Vison Algorithms for Mobile Robotics by Prof. Dr. Davide Scaramuzza ETH Zurich
Contributions:41 commits, 4 PRs, 32 pushes in 1 month
roboticsvisual-odometrypipelineeth-zurichdavide
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