Suvrit Sra received NSF grant for machine learning in medical imaging
Suvrit Sra, Assistant Professor of Electrical Engineering and Computer Science and member of the Laboratory for Information and Decision Systems (LIDS), has been awarded a TRIPODS + X grant of $8.5 million from the National Science Foundation (NSF) for his research titled “Learning with Expert-In-The-Loop for Multimodal Weakly Labeled Data and an Application to Massive Scale Medical Imaging.”
The NSF awarded MIT multi-year Transdisciplinary Research in Principles of Data Science (TRIPODS) awards to support collaborative research across mathematics, statistics, and computer science, with the goal of advancing the theoretical foundations of data science in 2017. Two of the co-principal investigators of the resulting MIT Institute for Foundations of Data Science (MIFODS) are members of the Laboratory for Information and Decision Systems (LIDS): Philippe Rigollet, a professor in the Department of Mathematics, and Devavrat Shah a professor in EECS. This new TRIPODS + X grant aims to expand the scope of the cross-disciplinary TRIPODS institutes into broader areas of science, engineering and mathematics.
“The multidisciplinary approach for addressing the increasing volume and complexity of data enabled through the TRIPODS+X projects will have a profound impact on the field of data science and its use,” said Jim Kurose, NSF assistant director for Computer and Information Science and Engineering (CISE). "This impact will be sure to grow as data continues to drive scientific discovery and innovation.”
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