Dr. Xingjie Wei

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 intersection of data science and business management, focusing on understanding human behaviour through psychological experiments, big data analytics, and machine learning modelling. Xingjie’s work develops algorithms that identify human traits and characteristics from various forms of unstructured data—decoding identity and emotions from images, extracting personality patterns from text, and detecting behavioural signals from digital footprints. These approaches generate human-centred insights that drive better decisions and outcomes, ultimately guiding governments, public sector organisations, and businesses to transform their operations and make their services more cost-effective and user-friendly.

Xingjie is particularly interested in:

  • Understanding and identifying human traits from unstructured data: faces, expressions, personalities, intelligence, confidence...
  • Multimodal data mining techniques 
  • Employing those computational techniques to improve business and management practices

Supervision

Xingjie is accepting PhD students and is 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

Responsibilities

  • Departmental Director of Postgraduate Research (2025-)
  • Head of Year for Bsc Business Analytics Programme (2018-2021)
  • Facilitator for CDR Seminar Series (2021-2023)

Research interests

Business Analytics, Unstructured Data Mining, Social Computing, Human Trait, Multimodal Data, Financial Risk Analytics, Initial Coin Offering

 

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 (2018-21)
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