Meng Qi is an assistant professor in the field of operations, technology, and information management at the Cornell SC Johnson College of Business. His research focuses on data-driven decision-making under uncertainty in operations management, employing various methodologies to deliver practical solutions that effectively integrate optimization, machine learning, and statistics. His work is particularly concerned with addressing real-world challenges in supply chain management and retail operations. Meng has co-authored papers such as 'Practical End-to-End Inventory Management Model Deep Learning' published in Management Science, and has invested his efforts in the development of innovative models to enhance operational efficiency in hospitality and service industries. He continues to contribute to the academic community through his teachings and research, guiding students in understanding complex analytical processes within the domain of operations management.