LIN Yan

About me

  • I am currently an assistant professor at University of Macau. My research focuses on applying psychology and economic theories to explain individual behavior in technology-mediated environments, to develop effective strategies for individuals and platforms, and to apply various computational methodologies to generate interdisciplinary research in business. Currently my research topics are in fintech, financial data analytics, social media, and e-commerce.

Publications

Working Papers and Projects

  • Yan Lin, Wai Fong Boh. Gauging Novelty in Entrepreneurial Endeavors: A Theory-Driven Text Analysis Approach. Under review
  • Xingyu Chen, Yan Lin, Dai Yao. All Smiles Are Not Created Equal: More Duchenne Smiles Leads to Less Extrinsic Rewards from Viewers in Live Streaming

Courses Taught

  • Master's Program (Msc): Introduction to Modern Financial Technology (現代金融科技導論)
    Executive Program (DBA): Technology Advancement and Application for Business Management (商業管理中的先進科技與應用)

Grants

  • Machine Learning for Explainable Robo-adviser (MOP, 100,000), 2024 - 2025, University of Macau
  • Global Financial Text Analysis: ESG and Culture (MOP 150,000), 2022 – 2025, University of Macau

Education

PhD in Information Systems, Nanyang Business School, Nanyang Technological University, Singapore, 2017
Bachelor of Engineering in Computer Science and Technology, Bachelor of Economics in Finance (Dual), University of Science and Technology of China, 2011

Contact

Email: yanlin[at sign]um[dot]edu[dot]mo
Address: E22-3072, Faculty of Business Administration, University of Macau, E22, Avenida da Universidade, Taipa, Macau, China

Recruitment

PhD Information

    I am looking for PhD students in the area of Information Systems, Business Analytics, and FinTech.
    Here are the general requirements:
    (1) Strong academic background.
    (2) Highly motivated and is able to work independently.
    (3) Good command of English (spoken and academic writing).
    (4) Good programing skills (e.g., Python) and experienced with statistical software (e.g., Stata).

Scholarship

Qualified students will be recommended for the UM PhD Scholarship.
Please send me your resume and other materials if you are interested.
Please understand that only shortlisted candidates will be contacted for an interview.

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Last update: May 23, 2024