Benjamin Marlin, PhD, is a professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, where he leads the Laboratory for Robust and Efficient Machine Learning and serves as co-principal investigator for MassAITC. His research focuses on the development of probabilistic and deep learning models for time series and sequential data with a focus on robustness to uncertainty and data scarcity. His applied work is in the areas of clinical and mobile health data analytics and the Internet of Things. His work has been supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), the Patient-Centered Outcomes Research Institute, the U.S. Army Research Lab, and the Intelligence Advanced Research Projects Activity.

Dr. Marlin is an NSF Career Award recipient and has led machine learning research for the NIH-funded MD2K Center and mDOT Center. He completed his PhD in computer science at the University of Toronto and his postdoctoral research at the University of British Columbia.