Sheng Liu is an Assistant Professor of Operations Management and Statistics at the Rotman School of Management. His research interests lie in supply chain and logistics, smart city operations (especially sustainable/climate-resilient system design), and data-driven decision-making (the integration of predictive and prescriptive analytics). His recent work explores the effective use of data to prescribe operational decisions for logistics and mobility systems. His research has been published in Management Science, Operations Research, Manufacturing & Service Operations Management, among others. He received a PhD in Operations Research from UC Berkeley in 2019 and a BSc in Industrial Engineering from Tsinghua University in 2014. He has contributed to the development of advanced decision-making tools for leading companies, including Amazon, Lyft, JD.com, and CNPC. More details about my research can be found on my personal website.
Assistant Professor, Rotman School of Management, University of Toronto
Faculty Affiliate, School of Cities, University of Toronto