Dr. Xingjie Wei

Profile

Dr. Xingjie Wei is Associate Professor in Business Analytics and Machine Learning in the Centre for Decision Research (CDR) at Leeds University Business School. Xingjie’s research interests lie in the interaction between data science, and business and management to understand human behaviour through psychological experiments, big data analytics, and machine learning modelling. Her research develops quantitative models to describe and predict behavioural and psychological traits (e.g., personality) of human from unstructured data (e.g., text, image), which can be applied to improve management practice in many fields such as marketing and finance. She is interested in applying cross-disciplinary techniques to discover hidden patterns within data and generate insights to guide governments, public sector organisations, and businesses to transform the way they work to make their services more cost-effective and easier to use.

Xingjie is particularly interested in:

• human traits understanding and identification: faces, expressions, personalities, intelligence, confidence…
• unstructured multi-media data mining: texts, images, EEGs…
• employing those computational techniques to improve business and management practice

Supervision

Xingjie is accepting PhD students and interested in supervising topics related to the above areas using big data and machine learning techniques. Students are also welcome to propose their own topics and discuss them with Xingjie. Xingjie also welcomes visiting PhD students. Please send her an email with your CV and research statement for further discussion. 

Grant

• 09/2023-09/2027, Primary supervisor, Collaborative Award, White Rose DTP, "Measuring life quality from digital footprints for informed policy decision making" to recruit a 4-year fully funded PhD student (international rates, equivalent to £150,166), ESRC
• 02/2022-06/2023, PI, "LINK: Climate change, social inequality & psychosocial wellbeing with emerging digital data - a multidisciplinary network between UK and South Korea", £45,758, ESRC
• 01/2022-08/2023, PI, "Predicting inequality from digital textual data", £21,467, LUBS Challenge Fund
• 02/2019-11/2020, PI, "Visual analytics on CEO profile images in initial coin offerings (ICO)", £2K, University of Leeds
• 02/2017-11/2017, PI, "Image pre-processing for automatic face recognition in forensics applications", £37.5K, Metropolitan Police Service

Responsibilities

• Head of Year for Bsc Business Analytics Programme
• Academic Tutor for the MSc Business Analytics and Decision Sciences programme
• Facilitator for CDR Seminar Series

Research interests

Social computing, business analytics, social data mining, cryptocurrency

Qualifications

• Ph.D. Computer Science, University of Warwick, UK
• Fellow of the Higher Education Academy (FHEA)

Professional memberships

• IEEE
• British Academy of Management
• Operational Research Society

Student education

Teaching:

LUBS1086 Exploring Your Potential (2018-19)
LUBS2940 Business Analytics 2 (2018-presnet)
LUBS3200 Business Analytics 3: Analytics Project (2018-19)
LUBS5990M Machine Learning in Practice (2019-presnet)

Research groups and institutes

• Centre for Decision Research

Current postgraduate researchers

• Junhao Liang