Scholar
Benjamin M. Marlin
Google Scholar ID: ey960FIAAAAJ
Manning College of Information and Computer Sciences, UMass Amherst
Citations & Impact
Citations
4,051
H-index
31
i10-index
63
Publications
20
Co-authors
123
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Details about REML Lab members, current and completed projects, and publications can be found on the REML Lab webpage. Collaborates with behavioral scientists, health researchers, statisticians, engineers, and computer scientists in areas like clinical and mobile health, embedded systems, and the Internet of Things.
Research Experience
- Currently a professor at the Manning College of Information and Computer Sciences, UMass Amherst, leading the REML Lab. Research focuses on robustness to uncertainty and missing data, as well as efficiency in terms of data, computational scalability, and communication. Also involved in several large-scale collaborative research grants such as the MD2k Center and mDOT Center.
Education
- PhD in Machine Learning from the Department of Computer Science, University of Toronto; previously a fellow of the Pacific Institute for the Mathematical Sciences and the Killam Trusts, based in the Laboratory for Computational Intelligence, Department of Computer Science, University of British Columbia.
Background
- Research Interests: Developing machine learning models and algorithms that are both robust and efficient. Professional field: Probabilistic machine learning, deep learning. Profile: Professor at the Manning College of Information and Computer Sciences, UMass Amherst, and Director of the REML Lab.
