Byron Wallace

• Data mining
• Machine learning
• Natural language processing

• PhD in Computer Science, Tufts University
• BS in Computer Science, University of Massachusetts at Amherst

Byron Wallace is an associate dean of research, director for the undergraduate data science program, and the Sy and Laurie Sternberg Interdisciplinary Associate Professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston.

Wallace’s research areas include artificial intelligence, data science, machine learning, natural language processing, and information retrieval, with an emphasis on applications in health informatics. He is a member of the applied machine learning group and the Data Science and Analytics Lab at Northeastern. Before joining Northeastern, Wallace taught at Brown University and the University of Texas at Austin.

Wallace develops machine learning and natural language processing methods that make synthesizing the vast biomedical evidence base more efficient. He also works on core machine learning and natural language processing methods, with his recent work delving into convolutional neural network architectures for text. Wallace has also recently been developing hybrid, interactive human–machine learning systems that aim to combine human and machine intelligence.

Wallace's work has been supported by grants from the Army Research Office, the NIH, and the NSF. He won the Tufts University 2012 Outstanding Graduate Researcher award and his thesis work was recognized as The Runner Up for the 2013 ACM Special Interest Group on Knowledge Discovery and Data Mining Dissertation Award. Wallace also co-authored the winning submission for the Health Care Data Analytics Challenge at the 2015 IEEE International Conference on Healthcare Informatics.