Sally Chen

Sally Chen is a skilled software developer and research scientist with experience in machine learning, computer vision, and deep reinforcement learning. At Epson Canada, Sally contributed to 3D object detection for flexible object manipulation. As a research assistant at the University of Toronto, Sally developed Python software for Transit Signal Priority systems and trained deep Q-learning models. Subsequent positions included a data scientist role at RBC, where Sally designed ML/NLP/computer vision algorithms leading to a filed patent, and research internships at Flawless and Meta focusing on neural implicit rendering and dynamic scene reconstruction. Sally's academic background includes relevant studies at top institutions, underscoring a commitment to advancing technology in artificial intelligence and robotics.