Debdatta Sinha Roy is a senior research scientist and co-lead for the AI Foundation product in Oracle's Retail Science R&D team. He started his industry career as a research scientist at Staples' Supply Chain and Transportation team. Before this, he completed his PhD in Operations Management/Management Science from the Robert H. Smith School of Business, University of Maryland, College Park, where he received the Abraham Golub Memorial Dissertation Proposal Prize in Management Science.

He also holds a BS-MS Dual Degree in Mathematics from the Indian Institute of Science Education and Research, Mohali, and received the President's Gold Medal. His primary research interest is data-driven decision-making under uncertainty for retail, supply chain, transportation, logistics, and service operations applications. The methodologies employed in his research range from data analytics and statistical machine learning to data-driven optimization. His Erdös Number is 3.

He has been an active participant at various INFORMS conferences. Recently, he was a panelist at the Supply Chain Management in the Post-Pandemic and AI Age Conference hosted by Rutgers Business School. At Oracle, he oversees both research and development of some critical areas in retail, such as forecasting engines, recommendation systems, etc., for various kinds of retail customers ranging from fashion and grocery to electronics.

At Staples, he re-designed some essential transportation and delivery operations problems due to the significant changes in market behavior and demographics inflicted by COVID-19. At the Smith School, he worked on real-world logistics problems and developed modern solutions considering the challenges posed by technological changes.

Optimization, Machine Learning, Data-Driven Decision Making under Uncertainty.