Zandi Eberstadt

Zandi Eberstadt Technology and Innovation
    Predoctoral Fellow

Zandi Eberstadt is a Predoctoral Fellow at the Mercatus Center at George Mason University and a graduate of Johns Hopkins University. Her research interests span machine consciousness, theoretical and computational linguistics, natural language processing, AI ethics, and the development of AI systems that measurably improve human wellbeing.  

At Johns Hopkins, Eberstadt served on the executive board of the Artificial Intelligence Society and led an interactive public workshop series on large language model capabilities. She has held fellowships in machine learning research at institutions including the University of Paris—where she conducted authorship attribution analyses for a French forensic case—and the National University of Singapore. While at the Human Language Technology Center of Excellence, she refined a syntactic parse server to analyze cross-linguistic spatial expressions, and she also worked as a computer vision analyst in the Johns Hopkins Computer Science Department.  

Eberstadt is currently a finalist for the Women in AI North America 2025 Rising Star in AI award. She will begin pursuing a PhD (DPhil) in computer science at the University of Oxford in fall 2025.