Summary
Carter 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.
11 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 Columbia
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Toronto
Master's, Robotics, Systems, and Control, 5.8/6.0, Master's, Robotics, Systems, and Control, 5.8/6.0 at ETH Zürich
Certicate in Front End Development, Computer Software Engineering, Certicate in Front End Development, Computer Software Engineering at freeCodeCamp
English, Chinese, Chinese, kaipingnese