Dr. Faith Bradley
Machine Learning, Artificial Intelligence (AI) and Public Policy
Dr. Faith Bradley joined the Department of Technology Management and Innovation at the NYU Tandon School of Engineering in Fall 2021. Previously, worked as consultant to U.S. Department of State in a project conducting wide area assessments. Researched big data policy development in both public and private sectors. Exceptional knowledge of Public Policy using Data Science. Designed and delivered master level courses in Machine Learning Algorithm Analysis and Data Mining for the George Washington University. Taught courses in Machine Learning I: Algorithm Analysis, Analytics I: Principal & Applications Analytical Methods II, Data Mining, Ethics of Data Science, Modeling, Simulation & Game Theory, Data visualization and Applied Project in Analytics.
Dr. Faith Bradley earned her Ph.D. Doctor of Public Policy / Policy Management and Implementation University of Arkansas, Department of Public Policy, Fayetteville, Arkansas. Master of Business Administration George Washington University, Washington DC. Completed Data Science program at Georgetown University, Washington, DC. Certificate Artificial Intelligence Management, Georgetown University, Washington DC, USA.
Dr. Faith Bradley completed research in government agencies implementing big data and public policy in three areas: The Impact of Resources; Ideology and personal preference; and Administrator Precedent on the Implementation new public policies. Researched the impact of resources, training and preferences impacting government agencies in implementing programs related to The Real ID Act.
Research Interests: Private and Public sectors regulatory policies in Innovation and Technologies, Managing AI for Business and Social Good, Data and Ethics and Algorithmic Fairness.