Yi Liu

Yi Liu serves as an Assistant Professor at the University of South Dakota's Beacom School of Business, specializing in Supply Chain, Transportation, and Logistics within Decision Sciences. Her faculty appointment is active with office location in Beacom Hall and university email contact.

Her academic foundation includes:

• PhD in Supply Chain & Information Systems (Penn State University, 2021)
• MS in Marketing (Columbia University, 2014)
• Dual BS degrees in Economics and Operations Management (Purdue University, 2013)

Professor Liu's research bridges Supply Chain Management and Health Care Operations through quantitative analysis. She develops predictive models for hospital length-of-stay optimization and creates pricing frameworks for sustainable products during supply disruptions. Her work connects theoretical operations research with practical applications in health administration and green logistics.

Recent publications (2023-2024) reveal an evolving research trajectory from general operations strategy toward specialized health services and sustainable supply chains. The 2024 Journal of Health Administration Education publication demonstrates rigorous methodology applied to real-world hospital management challenges, while her sustainable pricing research addresses critical environmental supply chain issues.

No scientific awards are documented in the available information.

As an early-career academic (PhD 2021), Professor Liu maintains active research productivity with consistent conference engagement since 2018. Her seven presentations at Decision Sciences, POMS, and INFORMS conferences indicate ongoing projects in service operations and sustainable logistics. Prospective graduate students should contact her directly regarding research assistantship opportunities in health operations analytics or green supply chain modeling.

Though no dedicated research laboratory is specified, her collaborative work with health administration scholars (e.g., Shepherd and Goodman) and supply chain researchers (e.g., Chatterjee and Amini) demonstrates active team-based research across institutional boundaries.