Yuhao Chen is a Research Assistant Professor at the University of Waterloo with eight years of experience building applied ML and computer vision systems across academia and industry. His work spans deep learning for object detection/segmentation, robotic vision, generative models and implicit 3D representations, with projects ranging from food and medical image analysis to 3D human pose and hockey motion capture. He has a strong engineering background from Purdue and Qualcomm, blending systems-level software development with research-grade algorithm design and dataset creation. Yuhao frequently leads interdisciplinary efforts—designing novel data representations, efficient neural radiance fields, and diffusion-based augmentation—to make ML models more practical for real-world sensing and robotic tasks. Based in Waterloo, he brings a hands-on balance of software, experimentation, and publication-focused research, and often tackles underexplored problems like shape quantization and multimodal redundancy for robust perception.
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