Summary
Chelsea Huang is an Artificial Intelligence intern and Electrical Engineering MS student at ETH Zürich with 11 years of hands-on experience spanning biomedical engineering, robotics, software, and electrical design. She has applied deep learning and computer vision in biomedical contexts (PyTorch, OpenCV) to process multi-gigabyte whole-slide images and improve model accuracy, and has production-focused experience porting motion control modules for NAO robots using C++ and ROS2. Her background includes accelerating data pipelines and reducing error in deployed models at NuraLogix and contributing to IVI and simulation tooling at Ford, evidencing a pragmatic blend of research and engineering. Comfortable across MATLAB, Python, C/C++, and embedded PCB work, she moves fluidly between wet-lab experiments and software systems—a less obvious strength that helps bridge prototyping to deployment. Based in Canada, she seeks diverse projects that further broaden her multidisciplinary impact.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Electrical Engineering and Information Technology, Master of Science - MS, Electrical Engineering and Information Technology at ETH Zürich
Bachelor of Applied Science - BASc, Biomedical Engineering, Bachelor of Applied Science - BASc, Biomedical Engineering at University of Waterloo
Chinese, English, French