Kevin Chen is a first-year MPP candidate at the Yale Jackson School of Global Affairs, where he focuses on AI influence operations, U.S.-China relations, and the intersection of cybersecurity and emerging technologies. Drawing on a background in national security and data science, Kevin aims to shape technology governance and global AI policy frameworks in ways that advance democratic resilience, mitigate misuse, and foster international cooperation.

Ultimately, Kevin seeks to guide AI policy in the private sector. He is especially passionate about helping technology companies and governments navigate the risks of generative AI, algorithmic manipulation, and social media influence campaigns. Additionally interested in the Indo-Pacific, he also aims to use his work experience and background as a Taiwanese-American to assist in the context of the U.S.-China strategic rivalry and Taiwan’s digital sovereignty. 

Prior to Yale, Kevin served for three years in U.S. intelligence as a data scientist. He developed and deployed large language model-based and computer vision-based solutions to support global operations and inform strategic tech investments. His work often involved AI/ML engineering in high-stakes environments, where he translated his research into operational insights. Additionally, Kevin worked as a data analyst in U.S. national security, where he synthesized large datasets into actionable policy reports for senior leadership, contributing to organizational resource planning and national program audits.

Kevin is originally from Knoxville, Tennessee, and graduated from Dartmouth College in 2022 with a bachelor’s degree in quantitative social science. He is fluent in Chinese.