Qingshi Tu

Assistant Professor

Dr. Qingshi Tu’s research combines industrial ecology principles with computational modeling to promote the sustainable development of bioeconomy. Specific foci include; (i) Transforming the information of engineering systems through process simulation, statistical methods and machine learning for sustainability modeling applications (e.g., life cycle assessment, techno-economic analysis, material flow analysis); (ii) Building models and tools for analyzing the environmental, economic and social impacts of emerging technologies for bioenergy, biofuels and bioproducts at different scales; and (iii) Investigating the synergies and tradeoffs between bioeconomy, circular economy and climate change mitigation through a system modeling approach.