Anna Rumshisky is an Associate Professor of Computer Science at the University of Massachusetts Lowell, where she heads the Text Machine Lab for NLP. Her primary research area is machine learning for natural language processing, with a focus on deep learning techniques. She has made contributions in a number of application areas, including computational lexical semantics, temporal reasoning and argument mining, as well as clinical informatics and computational social science. She received her PhD from Brandeis University and completed postdoctoral training at MIT CSAIL, where she is currently a Research Affiliate. She is a recipient of the NSF CAREER award in 2017, and her work won the best thematic paper award at NAACL-HLT 2019.
AI, Deep Learning
Country of Origin
Anna In the News
Mining physicians’ notes for medical insights: A new approach to algorithmically distinguishing words with multiple possible meanings could help find useful data in electronic medical records.