Bio
Wei is a PhD student at the Institute for Manufacturing, University of Cambridge, under the supervision of Dr Mukesh Kumar. Her research focuses on using publicly available data for developing end-to-end supply chain visibility, traceability and transparency. Wei obtained an MPhil in Industrial Systems, Manufacture and Management from the University of Cambridge in 2020 and a BEng. in Industrial Systems Engineering & Management at the National University of Singapore with a second major in Mathematics in 2019. Before starting her PhD, she worked as a research assistant at the Department of Industrial Engineering, Tsinghua University. Wei also has working experience in the semiconductor industry, especially in the area of production planning and planning data science.
Research interests
Wei’s research is about developing a global supply chain observatory (GSCO) for monitoring and analysing the end-to-end supply chain by using publicly available data. Modern slavery, human trafficking, and sustainability issues are becoming blind spots in the field of supply chain management due to the lack of end-to-end supply chain visibility, traceability and transparency. However, supply chains are now lacking data capabilities and digital infrastructure to create deep-tier visibility. Publicly available data generated within various contexts such as climate, economics, trade, and finance can provide additional data relevant to supply chains. This approach requires scrutiny of data definition, translation, quality, integration and analytics. Wei’s research will therefore explore the nature of publicly available data, big data analytics, the knowledge derived from such analytics, and their interconnections to uncover those blind spots. This GSCO will be able to inform companies, governments, and other regulators what is happening and what will happen in the end-to-end supply chains, creating the knowledge and data capabilities for them to better operational decisions and policymaking.
At the Turing, Wei is excited to learn and explore the use of system simulation, geospatial data analytics, natural language processing, complex system modelling and monitoring.