Arman Cohan is an Assistant Professor of Computer Science at Yale University. He holds a Ph.D. in Computer Science from Georgetown University. His research resides at the crossroads of Machine Learning and Natural Language Processing (NLP), with a particular focus on language modeling, representation learning, retrieval, and their applications in specialized domains. Dr. Cohan has garnered recognition for his contributions, earning distinctions such as the Dr. Harold N. Glassman Distinguished Doctoral Dissertation Award in Science in 2019 and the EMNLP 2017 Best Long Paper Award. His impactful research is reflected in his selected publications, which include contributions like "Question-Evidence Similarity Learning for Long-Context Question Answering," "PRIMERA: Pyramid-Based Masked Sentence Pre-training for Multi-Document Summarization," and "Longformer: The Long Document Transformer." For a comprehensive list of his work, you can refer to his Google Scholar page. Arman Cohan's dedication to advancing NLP and Machine Learning continues to shape the landscape of these fields.