Carnegie Mellon University

2024-2025 K&L Gates Presidential Fellows

Chan Young ParkChan Young Park

Chan Young Park is a Ph.D. candidate in the School of Computer Science at Carnegie Mellon University, advised by Professor Yulia Tsvetkov. Her research focuses on the intersection of natural language processing, computational social science and AI ethics. Specifically, she aims to enhance the effectiveness, fairness and adaptability of language technologies for diverse populations by centering social context in NLP systems.

Her work has been recognized with the ACL Best Paper Award and Wikimedia Foundation Research Award of the Year 2023, and has been featured in MIT Tech Review and The Washington Post. Chan Young is a recipient of the Korea Foundation for Advanced Studies Ph.D. fellowship, K&L Gates Presidential Fellowship in Ethics and Computational Technologies and has received several Rising Star honors.


Mateo Dulce RubioMateo Dulce Rubio

Mateo Dulce Rubio is a Ph.D. candidate in the Statistics and Public Policy program at Carnegie Mellon University, which is offered jointly by the Dietrich College of Humanities and Social Sciences and the Heinz College of Information Systems and Public Policy. He is advised by Edward H. Kennedy.

Rubio's research focuses on non-parametric statistics, causal inference and responsible machine learning, with a strong emphasis on their applications for good. His dissertation encompasses the development of flexible and robust methods inspired by challenges arising in post-conflict scenarios and peacebuilding efforts. He is also the co-founder of the Centro de Analítica para Políticas Públicas (Center of Analytics for Public Policy), a research initiative dedicated to fostering the advancement of mathematics, data science and AI for the public sector in Colombia and Latin America.


Lindsay GraffLindsay Graff

Lindsay Graff is a Ph.D. candidate in the Civil and Environmental Engineering department at Carnegie Mellon University, advised by Sean Qian and Katherine Flanigan. She holds a Bachelor’s degree in Mechanical and Aerospace Engineering from Princeton University and a Master’s degree in Public Policy from Carnegie Mellon’s Heinz College of Information Systems and Public Policy. After completing her Bachelor’s degree, she spent three years working for Delta Air Lines in the Revenue Management department, where she forecasted passenger demand across the flight network. Her current research focuses on improving the design of urban multimodal transportation networks to facilitate access to goods and services for all population groups.