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Mikkel Petersen is an Assistant Professor in the Department of Computer Science at Princeton University. His research interests encompass the areas of Natural Language Processing, particularly focusing on computational models for semantics, machine learning applications in linguistics, and the intersection of formal linguistics and artificial intelligence. He has published various impactful papers on language understanding and algorithmic approaches to linguistic phenomena, contributing to the broader field of computational linguistics. Petersen's work aims to bridge theoretical insights in linguistics with practical applications in AI and machine learning techniques. His academic background includes a rigorous training in linguistic theory and computer science foundations, positioning him uniquely at the crossroads of these disciplines. Petersen collaborates regularly with both linguists and computer scientists to advance the understanding of language through computational means. His contributions are essential for developing more sophisticated language AI that can handle complex linguistic tasks with a high level of proficiency.
Princeton University • Princeton, NJ
Teaching and conducting research in Natural Language Processing within the Department of Computer Science.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.