Smaranda Muresan

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About

Smaranda Muresan is a leading researcher in natural language processing (NLP) and computational social science, with a focus on bridging human communication and machine understanding. Her work spans grounded language learning, dialogue systems, and the computational analysis of social media discourse, particularly in detecting harmful language and understanding argumentation. A key contribution is her pioneering research on grounding natural language commands to reward functions for robots, enabling non-experts to train intelligent agents through demonstration and language—a paper that has garnered over 65 citations and laid foundational work for human-robot interaction. She has also made significant strides in computational pragmatics and ethics in AI, including developing models to identify online hate speech and misinformation. With a citation count exceeding 2,000, her research has been published in top venues like ACL, EMNLP, and NAACL. Muresan is a recipient of multiple NSF grants and serves as an associate professor at Columbia University, where she directs the Computational Social Science and Natural Language Processing lab, mentoring the next generation of NLP researchers.