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Xiang Ren is an Associate Professor in the Department of Computer Science at the University of Southern California (USC) and holds the Andrew Erna Viterbi Early Career Chair. He directs the Intelligence Knowledge Discovery (INK) Research Lab at USC, where he focuses on advancing natural language processing (NLP) systems to handle a wide variety of language tasks effectively. His research seeks to develop algorithms and datasets that enhance the generality and reliability of NLP models while ensuring they are cost-effective to build and maintain. Additionally, he collaborates with the Allen Institute for Artificial Intelligence (AI2) to work on common sense capabilities in machine learning models. Prior to his appointment at USC, Dr. Ren was a Data Science Advisor at Snapchat and completed his PhD in computer science at the University of Illinois at Urbana-Champaign (UIUC). He has also been involved with NLP initiatives at Stanford University. Dr. Ren's significant contributions to the field have been recognized through numerous awards and grants, reflecting his impactful work in NLP and AI.
GRE is NOT required for Master's applicants for 2025-2026.