Xiaobai Li

Xiaobai Li is a Professor in the Department of Operations and Information Systems at the University of Massachusetts Lowell's Manning School of Business. His research spans data science, machine learning, business analytics, data privacy, and information economics with significant funding from NIH and NSF. Previously, he taught at the University of Texas at Dallas and accumulated 10 years of industry experience as an engineer, analyst, and manager.

His research interests focus on privacy-preserving data analytics, data valuation economics, and machine learning optimization. Key contributions include developing novel methods for differential privacy, medical data anonymization, and cost-effective data acquisition frameworks that balance privacy protection with analytical utility. His work bridges theoretical computer science with practical business applications.

Analysis of his recent publications reveals strong trends in privacy-aware business analytics (70% of articles), health informatics security (20%), and data economics (10%). The research consistently addresses the tension between data utility and privacy protection, with increasing focus on real-world implementation challenges in healthcare and consumer data markets.

• Manning Research Excellence Award (2023)
• Best Associate Editor Award (2021)
• Multiple Best Paper Awards (2004-2021)
• Graduate Teaching Award (2019)

Dr. Li has secured significant research funding including a $706,669 NIH grant for patient privacy preservation (2011-2015) and a $100,000 NSF grant for consumer electronic privacy systems (2008). He serves as Associate Editor for Information Systems Research, Decision Support Systems, and other leading journals. His teaching portfolio includes database management, machine learning, and data analytics courses at undergraduate and graduate levels.