Mo Han is a Senior Data Scientist specializing in Machine Learning at Autodesk, where they propose innovative machine learning methods to support construction solutions. With a PhD in Electrical and Computer Engineering from Northeastern University and a background that includes research positions in machine learning, deep learning, and signal processing, Mo has contributed to projects such as developing a multimodal control system for a robotic hand. Their internships at institutions like Mitsubishi Electric Research Laboratories and Boston Children's Hospital have further strengthened their expertise in feature extraction and injury risk estimation. Mo is also involved in the Gordon Engineering Leadership Program at Northeastern University, focusing on building high-performing teams to enhance their industrial impact.
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