Dr. Carolyn Penstein Rose

Dr. Carolyn Rosé is the Kavčić-Moura Professor of Language Technologies and Human-Computer Interaction in the School of Computer Science at Carnegie Mellon, and Program Director for the Masters of Computational Data Science Program. Her research program explores interactive and explainable Sociotechnical Artificial Intelligence from a highly interdisciplinary perspective. Her 3+ decades long career has aimed to develop technology to positively impact human learning. Her team’s research, published in over 330 peer reviewed publications, pushes the frontier of learnability and generalizabiliry through deeply data focused explorations of inductive biases. Her work develops and explores novel representations and architectural elements using a problem-driven approach motivated by error analysis and exploratory data analysis, with a current emphasis on abstraction and decomposition, which are arguably two of the greatest challenges for LLMs. She investigates these issues across multiple problem areas including multimodal conversational process analysis, multimodal document understanding, clinical text processing, knowledge based question answering, and language models of code. She is a Past President and Inaugural Fellow of the International Society of the Learning Sciences, Senior member of IEEE, Founding Chair of the International Alliance to Advance Learning in the Digital Era, and Executive Editor (formerly Co-Editor-in-Chief) of the International Journal of Computer-Supported Collaborative Learning. She also serves as a 2020-2021 AAAS Leshner Leadership Institute Fellow for Public Engagement with Science, with a focus on public engagement with Artificial Intelligence. This year she is serving as Program Co-Chair for Empirical Methods in Natural Language Processing.