Raman Arora is an associate professor in the Department of Computer Science at Johns Hopkins University, where he is also affiliated with the Mathematical Institute for Data Science, the Center for Language and Speech Processing, and the Institute for Data-Intensive Engineering and Science.
Arora’s research interests lie in machine learning, data-driven decision-making, and robustness and privacy in machine learning and artificial intelligence. He received an NSF CAREER Award in 2020 and his work on multi-view representation learning was among the three finalists for the Test-of-Time Award at the 2023 International Conference on Machine Learning.
He received his PhD from the University of Wisconsin–Madison. Prior to joining Johns Hopkins, he was a research assistant professor and postdoctoral scholar at Toyota Technological Institute at Chicago; a visiting researcher at Microsoft Research in Redmond, Washington; and a research associate at the University of Washington in Seattle.
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Drew Prinster, Yiqing Shen, and Yunjuan Wang were selected based on their outstanding publication records, research proposals, and mentor support.
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The award will support his research on deep learning theory.