Kristina Gligorić is an assistant professor of computer science and a member of the Data Science and AI Institute at the Johns Hopkins University, working at the intersection of computational social science and natural language processing. Her current research focuses on developing and applying large language model methods to understand, simulate, and change human behavior, with an emphasis on diet and health. She collaborates with tech companies, practitioners, and interdisciplinary researchers to turn her work into real-world impact—advancing AI methods, models, and datasets to address societal problems.
Her research has been published in top conferences in computational social science and NLP, as well as in broad-audience journals such as Proceedings of the National Academy of Sciences of the United States of America, Nature Medicine, and Nature Communications. A Swiss National Science Foundation Postdoctoral Fellow and a Rising Star in Electrical Engineering and Computer Science, Generative AI, and Data Science, Gligorić has received several awards for her work, including the École Polytechnique Fédérale de Lausanne Doctoral Program Thesis Distinction.
She received her PhD in computer science from EPFL in 2022 and was a postdoctoral scholar in the Computer Science Department at Stanford University before joining Johns Hopkins in 2025.