EDUCATION
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)
RESEARCH INTERESTS
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: https://greenet09.github.io/datasophy/
PUBLICATIONS
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.
Shmueli, G., Greene T. (2018). Analyzing the Impact of GDPR on Data Scientists Using the InfoQ Framework. Social Sciences Research Network Electronic Journal. https://ssrn.com/abstract=3183625
CONFERENCE PROCEEDINGS
Greene, T., & Shmueli, G. (2019). How Personal is Machine Learning Personalization?. arXiv preprint arXiv:1912.07938. Ethics of Data Science Conference, Sydney, Australia (deferred)
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)
Industry-Academia Big Data Collaborations in the New Era of Data Regulation. June 2018, INFORMS Taipei, Taiwan
Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers. November 2018, INFORMS Data Science Workshop, Phoenix, Arizona
ONGOING PROJECTS
The Person Behind the Behavioral Data: The GDPR and the Future of Personalized Recommendation
CERTIFICATES
Taiwan Ministry of Education Academic Lecturer Certification
CELTA (Certificate in English Language Teaching to Adults) - University of Cambridge
NTHU Business Analytics Certificate