Yi Hou

Yi Hou is an accomplished data scientist with extensive experience in optimizing demand response programs and vehicle charging scheduling at bp pulse, where contributions included the development of innovative optimization techniques. Prior roles at the National Renewable Energy Laboratory involved leading efforts in the commercialization of AI-based traffic volume estimation tools and implementing advanced deep learning models for urban traffic detection and travel time prediction. As a senior researcher at Meta, Yi Hou continues to drive advancements in machine learning, drawing on a robust background that includes significant contributions to intelligent healthcare solutions at GE Digital and predictive modeling for urban traffic volumes during academic research at the University of Missouri. Yi Hou holds a Bachelor of Science in Civil Engineering from Southwest Jiaotong University and a Doctor of Philosophy in Civil Engineering from the University of Missouri-Columbia.