Ying is a research assistant of one research project, an AI-powered sourcing tool for fashion and textile companies to assess environmental and social risks, at the University of Leeds Business School since January 2023. Prior to this, she earned her second master’s degree in Business Administration at the University of Leeds Business School in 2022. She has also more than twelve years of industrial working experience in business development, project management and marketing at SME and multinational companies in the healthcare sector.
Her interest lies in the areas of sustainability, AI, big data and innovation, from research to industry and frontline business. She has led programmes to work with researchers and the third sector to develop products using research outcomes to do diagnosis.
- Research Assistant , AI-powered sourcing tool for fashion and textile companies to assess risks
Ying’s research focuses on the sustainability of supply chains. Her current work is to support core research activities to develop an AI-powered sourcing tool for fashion and textile companies to assess environmental and social risks to make ethical sourcing decisions. The project link is https://business.leeds.ac.uk/dir-record/research-projects/2067/ai-powered-sourcing-tool-for-fashion-and-textile-companies-to-assess-environmental-and-social-risks
- MBA, Business Administration, University of Leeds, UK
- MSc,Pratacultural Science, Northwest A&F University, China
- BSc,Pratacultural Science, Northwest A&F University, China
Research groups and institutes
- Centre for Operations and Supply Chain Research