Trevor Cohn

Trevor Cohn is a Professor at The University of Melbourne's Computing and Information Systems Department, with a dual appointment at Google Research Australia. His research focuses on Natural Language Processing (NLP), probabilistic machine learning, and machine translation. He leads the Natural Language Processing group and has held roles including Director of the ITTC on medtech and Local Chair for ACL 2018.

His research interests include automatic language processing, handling uncertain data, structured prediction, and cross-lingual systems. Recent work addresses backdoor attacks, reward modeling, and fairness in AI. He teaches courses like Statistical Machine Learning and Web Search & Text Analysis, advising students such as Thinh Truong and Nitika Mathur (award recipients).

His 15 most recent articles span topics like LLM-based planning systems, mitigation of adversarial attacks, and cross-lingual NLP challenges. His work emphasizes practical applications of NLP in multilingual contexts and robust AI systems.