PeopleofSuperintelligence

Researcher

Dandan Qiao

Also known as Qiao Dandan

Dandan Qiao is an information systems researcher whose work examines AI’s effects on online labor, language-model training, and marketing design. She earned a PhD in information systems at Tsinghua and spent two years as a research scholar at UT Austin before joining NUS, where she studied paid Amazon reviews. Her 2023 study found that ChatGPT increased work volume and earnings in web development, and her 2024 paper found that training with LLM-generated data harmed model performance. She coauthored a theory-driven system for marketing images and received the ISS Gordon Davis Young Scholar Award in 2023 and the AIS Early Career Award in 2024. As of October 2026, she is an associate professor at NUS; she became an associate editor at MIS Quarterly in January 2026 and contributed as a CSSH deputy director to a public-personas policy project in March 2026.

Timeline

  1. By 2020

    A PhD and research visit

    Before joining NUS, she earns a PhD in information systems at Tsinghua and spends two years as a research scholar at the University of Texas at Austin. By 2020, she is an assistant professor at NUS Computing.

  2. 2020

    Paid reviews on Amazon

    In 2020, she and her collaborators analyze more than a million Amazon reviewers with machine learning. Their study finds a negative spillover effect on later unpaid reviews by people who had received incentives.

  3. 2023

    AI and Jobs, 2023 award

    In 2023, she coauthors “AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform,” which studies ChatGPT’s effects on human workers across online labor markets. The paper finds increased work volume and earnings in web development, and she receives the ISS Gordon Davis Young Scholar Award in 2023.

  4. 2024

    Regurgitative Training, AIS award

    In 2024, she coauthors “Regurgitative Training: The Value of Real Data in Training Large Language Models,” which tests fine-tuning GPT-3.5 with data generated by itself or other LLMs. The authors find that this training harms language-model performance, and she receives the AIS Early Career Award in 2024.

  5. 2025

    A marketing image system

    In 2025, she coauthors “AIGC on Marketing: A Theory-driven Design System and Empirical Evaluation.” The system combines structured prompt engineering, AI image generation, and LLM-guided evaluation and selection.

  6. January 2026

    Associate editor at MIS Quarterly

    In January 2026, she becomes an associate editor at MIS Quarterly.

  7. March 2026

    Modeling public personas

    In March 2026, as CSSH deputy director, she contributes to a project that uses large language models to model public personas for policy testing.

  8. As of October 2026

    Associate professor at NUS

    As of October 2026, she is an associate professor in NUS Computing’s Department of Information Systems and Analytics.

Career

  1. NowNational University of SingaporeAssociate Professor
  2. University of Texas at AustinResearch Scholar
  3. CSSHDeputy director

Education

  1. Tsinghua UniversityPhD

From the biography.

  1. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes National University of Singapore. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  2. The United States employs an estimated 48% of people shaping AIIncludes National University of Singapore. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes National University of Singapore. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes National University of Singapore. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Sources and credits

Photo: We have no published photo of Dandan Qiao yet. Send us a free-licensed photo.

  1. QIAO Dandan - NUS Computing comp.nus.edu.sg. Checked 22 October 2026.
  2. The Perils of Paying for Product Reviews - NUS Computing comp.nus.edu.sg. Checked 22 October 2026.
  3. [2312.04180] AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform arxiv.org. Checked 22 October 2026.
  4. Assistant Professor Qiao Dandan earns the INFORMS ISS Gordon Davis Young Scholar Award - NUS Computing comp.nus.edu.sg. Checked 22 October 2026.
  5. [2407.12835] Regurgitative Training: The Value of Real Data in Training Large Language Models arxiv.org. Checked 22 October 2026.
  6. Assistant Professor Qiao Dandan Receives 2024 AIS Early Career Award - NUS Computing comp.nus.edu.sg. Checked 22 October 2026.
  7. AIS Electronic Library (AISeL) - ICIS 2025 Proceedings: AIGC on Marketing: A Theory-driven Design System and Empirical Evaluation aisel.aisnet.org. Checked 22 October 2026.
  8. Associate Prof Qiao Dandan has been appointed Associate Editor at MIS Quarterly - NUS Computing comp.nus.edu.sg. Checked 22 October 2026.
  9. New Centre for Computational Social Science and Humanities at NUS to advance interdisciplinary research on complex societal challenges - NUS Computing comp.nus.edu.sg. Checked 22 October 2026.