معرفی
Warut Khern-am-nuai serves as Associate Professor of Information Systems at McGill University's Desautels Faculty of Management, where he directs the Analytics, AI and Advanced Digital Technologies Initiative and Business & Management Research Centre while co-directing the Retail Innovation Lab. His cross-disciplinary work bridges information systems, artificial intelligence, and business operations with significant industry impact.
His educational credentials include a Ph.D. in Management (MIS) with Computer Science minor from Purdue University, M.S. in Economics from Purdue, MBA (Honors) from Thailand's National Institute of Development Administration, and B.Eng. in Computer Engineering (First-Class Honors) from King Mongkut Institute of Technology Ladkrabang.
Dr. Khern-am-nuai's research centers on online marketplace dynamics, predictive analytics for business, and AI-driven platform design, with special focus on user behavior, security implications, and economic outcomes. His work employs rigorous experimental and data-driven methodologies to address real-world challenges in retail, e-commerce, and digital platforms.
Analysis of his recent publications reveals a strong trajectory toward fairness in machine learning systems, behavioral impacts of platform design, and AI applications in post-pandemic retail. These studies consistently leverage large-scale user data and experimental approaches to generate actionable business insights across diverse contexts.
His scientific recognition includes:
- AIS Early Career Award (2023)
- ISS Sandy Slaughter Early Career Award (2022)
- Invitational Fellowship from Japan Society for Promotion of Science (2023)
- Multiple teaching honors including Poets&Quants Top 50 Professor (2022)
Dr. Khern-am-nuai has secured over $1.1 million in competitive research funding, including SSHRC Insight Grants for "AI Generated Content and the Future of Online Platforms" ($143,510) and NSERC Discovery Grants for "Helping Retail Industry Navigate the Post-Pandemic World with AI" ($155,000). His grant portfolio demonstrates exceptional success in translating theoretical research into practical business solutions through industry partnerships.
As leader of the Retail Innovation Lab and Analytics Initiative, he drives collaborative research connecting academic rigor with industry challenges, particularly in applying AI to retail analytics, supply chain optimization, and consumer behavior prediction through interdisciplinary team structures.
