Post-Graduate Researcher
Andrea Dean is a Post-Graduate Researcher at the Knight-Georgetown Institute. Her past work bridges engineering and policy, with a focus on AI governance, surveillance, privacy, labor, and the societal implications of technologies.
She has experience as a software developer and engineering manager in the tech industry, leading projects involving computer vision, edge computing, sensor fusion, and privacy-aware infrastructure. She has collaborated with the Algorithmic Justice League and serves on the board of hackNY, a nonprofit dedicated to fostering a diverse and inclusive tech community and empowering the next generation of responsible tech leaders in New York City.
She holds a Master of Law in Technology from Georgetown University Law Center, where she was an editor of the Georgetown Law Technology Review, and a Bachelor’s degree in Mathematics and Computer Science from Lewis & Clark College.
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Algorithms determine what we read, watch, and encounter online, and, increasingly, they also influence our offline lives. Yet algorithms are often built to maximize short-term engagement and capture attention, rather than to deliver long-term value to users. KGI’s new commentary takes a deep dive into the evolving landscape of recommender system design, highlighting six innovative trends that show it is possible to design better feeds that put people first.
