Travis Greene


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PhD, National Tsing Hua University, Taiwan (current)

MBA, National Tsing Hua University, Taiwan (2017-2019)

MA, Philosophy, San Francisco State University, USA (2009-2012)

BA (cum laude), Philosophy, University of California, Irvine, USA (2004-2008)


  • General Data Protection Regulation (GDPR)

  • Personalization

  • Behavioral Big Data

  • Ethics

  • Machine learning methods

Areas of Interest: Data protection law, data science ethics, philosophy of social science

Online Presence:


  1. Greene, T., Shmueli, G., Ray, S., & Fell, J. (2019). Adjusting to the GDPR: The impact on data scientists and behavioral researchers. Big data, 7(3), 140-162.

  2. Shmueli, G., Greene T. (2018). Analyzing the Impact of GDPR on Data Scientists Using the InfoQ Framework. Social Sciences Research Network Electronic Journal.


  1. Greene, T., & Shmueli, G. (2019). How Personal is Machine Learning Personalization?. arXiv preprint arXiv:1912.07938. Ethics of Data Science Conference, Sydney, Australia (deferred)

  2. Greene, T., Shmueli, G., Liu, HW., Lin, CF (2019). Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making. Ethics of Data Science Conference, Sydney, Australia (deferred)

  3. Industry-Academia Big Data Collaborations in the New Era of Data Regulation. June 2018, INFORMS Taipei, Taiwan

  4. Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers. November 2018, INFORMS Data Science Workshop, Phoenix, Arizona


  1. The Person Behind the Behavioral Data: The GDPR and the Future of Personalized Recommendation


  • Taiwan Ministry of Education Academic Lecturer Certification

  • CELTA (Certificate in English Language Teaching to Adults) - University of Cambridge

  • NTHU Business Analytics Certificate