Tinglong Dai is the Bernard T. Ferrari Professor of Business at Johns Hopkins University, specializing in human-AI interaction, healthcare analytics, and global supply chains. He developed and teaches the core MBA course “Data Science: Artificial Intelligence” and was named one of Poets & Quants’ Top 40-Under-40 Business School Professors. His work is widely featured in major media outlets and he has spoken at prestigious events including commencements at Carnegie Mellon and Johns Hopkins. Dr. Dai serves as Vice President of Marketing, Communication, and Outreach for INFORMS and holds editorial roles at leading journals. His award-winning research spans top publications in operations and management science.
Maxime C. Cohen is a Professor at McGill University, Canada and Scale AI Chair in Data Science for Retail. He directs research at the Bensadoun School of Retail Management and advises companies on AI, pricing, and retail strategy. A former Visiting Professor at Yale and Research Scientist at Google AI, Dr. Cohen has collaborated with major firms including Meta, Uber, and L’Oréal. His research spans operations, data science, and sustainability, earning over 40 awards including Poets & Quants’ Top 40-Under-40 and the MSOM Young Scholar Prize. He also serves as Chief AI Officer at ELNA Medical and Scientific Director of MyOpenCourt.org.