Dylan Chiang 💪
Dylan Chiang Dylan Chiang
(he/him)

PhD Candidate in Intelligent Science and Technology, School of Data Science, Fudan University

About me

I am a doctoral student in intelligent science and technology at the School of Big Data at Fudan University. I joined the Data Intelligence and Social Computing Laboratory (Fudan DISC) and serve as the chairman of the Chinese AI Application Development Association (CAIADA). Research focuses on natural language processing, large-scale language models and computational social science, and how artificial intelligence serves research, knowledge work and social governance.

I have a research background in national development, public administration and artificial intelligence adoption. From the use of generative AI in political work to trustworthy AI tools for researchers in the humanities and social sciences, I continue to explore how to combine computational methods, awareness of social science issues, and human judgment.

Research Interests
  • Natural language processing and large language models
  • computational social science
  • Human-centered artificial intelligence
Education
  • PhD in Intelligent Science and Technology

    School of Data Science, Fudan University

  • Master of Laws in National Development and Mainland China Studies

    Chinese Culture University

  • Public administration exchange student

    Shenzhen University School of Government

Research

I am a PhD candidate in Intelligent Science and Technology at the School of Data Science, Fudan University (復旦大學大數據學院), and a member of the Data Intelligence and Social Computing Lab (Fudan DISC; 數據智能與社會計算實驗室). My research focuses on natural language processing, large language models, and computational social science. I study how LLMs and intelligent agents can help people understand, simulate, and improve human-technology interaction.

My background spans national development, public administration, and AI adoption. My master’s thesis examined generative-AI use and acceptance among legislative assistants. I now explore human-centered AI for research and knowledge work, keeping scholarly judgment, source verification, and research ethics in human hands.

Recent projects
Latest papers
Talks
Conferences
Latest News

Paper reading: Video game play is positively correlated with well-being

By analyzing actual game telemetry data, a research team from the University of Oxford found that game time is positively correlated with psychological well-being, challenging traditional negative stereotypes. This study highlights the importance of using objective data rather than self-reports.