Sheng Liu is an Assistant Professor of Operations Management and Statistics at the Rotman School of Management, University of Toronto. He joined Rotman after graduating from Berkeley in 2019. Sheng's research focuses on solving operations problems in supply chains, transportation, and logistics systems through optimization and data analytics. His industry experience includes consulting or working for organizations such as JD.com, Sport Chek, Ninja Van, Hungerhub, Amazon, and Lyft. More recently, he has been working on (a) data-driven and sustainable urban infrastructure planning, (b) inventory placement in online retailing, and (c) zoning/districting in emerging logistics systems. He is also interested in improving decision outcomes for vulnerable populations, motivated by collaboration with nonprofit organizations such as Shelter Movers and WHO. His work has been recognized by several awards and paper competitions, including the INFORMS Public Sector Operations Research Best Paper Award, INFORMS TSL Outstanding Paper Award (Freight Transportation and Logistics), and M&SOM Data-Driven Research Competition. He currently serves as an Associate Editor of Transportation Science and an Editorial Review Board member of Service Science.