Karthik Narasimhan
TL;DR Karthik Narasimhan is a leading researcher in artificial intelligence, specializing in natural language processing and reinforcement learning, dedicated to building intelligent systems that learn from experience and language.
Karthik Narasimhan by Sora
Karthik Narasimhan is an assistant professor in the Computer Science department at Princeton University, where he focuses on the intersection of natural language processing (NLP) and reinforcement learning (RL). His work aims to create intelligent agents capable of understanding and interacting with the world through both experience and language, a key step toward more adaptive and human-like AI systems.
Narasimhan’s academic journey began with his Ph.D. at the Massachusetts Institute of Technology (MIT), where he studied under the guidance of renowned AI researcher Regina Barzilay. After earning his doctorate in 2018, he joined Princeton’s faculty and has since become a key figure in advancing machine learning research that merges reasoning, communication, and action.
His research group explores how AI models can learn complex behaviors and concepts using linguistic instructions, enabling machines to generalize knowledge more efficiently. Narasimhan has also contributed to several influential papers on machine literacy, generative pre-training, dialogue systems, and semantic parsing, areas crucial to the development of conversational AI and intelligent assistants.
Beyond research, he is deeply involved in teaching and mentorship, offering courses at Princeton on topics such as natural language understanding and embodied AI, which combines language with perception and action.
Assistant Professor at Princeton University, specializing in NLP and reinforcement learning
Ph.D. from MIT (2018) under Regina Barzilay, focusing on language-based machine learning
Published pioneering research on generative pre-training, semantic parsing, and machine literacy
Leader of the Princeton NLP and Reinforcement Learning Group, advancing multimodal intelligence
Advocate for embodied language understanding, connecting linguistic reasoning with real-world behavior.
Contributor to several high-impact AI papers and conferences shaping the direction of modern AI research
