John J. Nay     About     CV     Publications     In Progress     Software


I am a Ph.D. Candidate at the Vanderbilt University School of Engineering and a Research Fellow at Vanderbilt Law School’s Program on Law & Innovation. I conduct research on machine learning, law and policy.

Coming up:

“Text Modeling for Understanding and Predicting the Federal Government.” Invited Talk at 2016 INFORMS Annual Meeting.

Email: john dot j dot nay at gmail dot com

Twitter: @johnjnay

Recent talks:

  • “Predicting and Understanding Law with Machine Learning.” Data Science D.C. August Presentation at George Washington University, Washington D.C.
  • “Distributed Representations of Institutions and Their Policy Text” June Presentation at International Conference on Computational Social Science, Evanston, IL.
  • “Modeling Text for Legal Prediction and Analysis” May Presentation at Gruter Institute for Law & Behavioral Research Annual Conference, Lake Tahoe, CA.
  • “Natural Language Processing for Large Legal Databases” April Presentation at the Workshop on Frontiers of Artificial Intelligence and the Law.
  • Predicting and Understanding Human Cooperation” March Presentation at Vanderbilt Microeconomics Seminar.
  • “Forecasting Agricultural Productivity with Remote Sensing and Machine Learning”, March Presentation at Annual Meeting of National Science Foundation Water Sustainability and Climate Investigators, Arlington, VA.
  • Data-Driven Dynamic Decision Models” December Presentation at the 2015 Winter Simulation Conference, Huntington Beach, CA.
  • An R Package for Data-Driven Decision Modeling” October Presentation at Nashville R Users Group.

Websites for my open-source software pacakges: