Daniel Cho is a Machine Learning Engineer with over 7 years of experience building intelligent decision systems at the intersection of data, optimization, and AI. At Expedia Group, he led the development of large-scale churn-prevention and incentive-optimization platforms, automating business decisions across multiple global brands. Before joining Expedia, Daniel advanced AI-driven simulation and optimization at Corning Incorporated, accelerating complex 3D manufacturing processes with deep learning surrogate models, and previously contributed to analytics and data engineering initiatives at Enbridge, Health Canada, and Xerox. Daniel holds a Master of Applied Science from the University of Toronto, where he specialized in applying machine learning to simulation and optimization, and is completing his MS in Computer Science (Machine Learning) at Georgia Tech.