Jake Dailey is a Master of Science in Foreign Service (MSFS) candidate with a concentration in Global Politics and Security. He is passionate about addressing key issues straining global democratic governance, with a focus on the Western hemisphere. Jake is particularly interested in the topics of authoritarianism, mis/disinformation, transnational crime and terrorism, forced displacement, and inequitable economic growth.

Prior to joining MSFS, he was a Principal Research Scientist at Amazon Web Services, Inc., where he led transformation in global strategy and decision-making using AI, econometrics, statistics, and analytics. Prior to joining Amazon, Jake was a research scientist and technical lead at Nielsen, where his work on digital audience measurement and privacy resulted in 6 patents, and where he led global cloud transformation initiatives. He created and delivered a machine learning course through Stanford University's Summer Institute, as well as workshops at the American Association for Public Opinion Research and Open Data Science conferences.

Jake received his Bachelor's in Communication and Media Studies from the University of Michigan, where he concentrated on political communication and led research on election discourse on social media, co-authoring a chapter in Digital Discussions: How Big Data Informs Political Communication with Professor Josh Pasek, "Why Don’t Tweets Consistently Track Elections? Lessons from Linking Twitter and Survey Data Streams.