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Chen and her team will use the award to develop a first-of-its-kind, tension-sensitive drug release system that targets only diseased cells, leaving healthy cells alone.

Researchers will develop a mathematical, statistical and computational framework that will explain the success of current deep network architectures, understand their pitfalls, and guide the design of novel architectures with guaranteed, robustness, interpretability, optimality, and transferability.

Huang is known for his work on the reliability of next-generation operating and distributed systems.

His research focuses on computational statistics, kernel and mixture estimates, statistical pattern recognition, dimensionality reduction, model selection, and statistical inference for high-dimensional and graph data.

The Edward Alexander Bouchet Graduate Honor Society recognizes outstanding academic achievement and commitment to diversity.

Vidal was recognized for outstanding contributions to medical image analysis and medical robotics.

The award recognizes early stage scholars with high levels of promise and excellence.

The award recognizes early stage scholars with high levels of promise and excellence.

The award recognizes early stage scholars with high levels of promise and excellence.

He will be presented with this award at the World Congress on Computational Mechanics in Paris this July.

With support from NSF, he will explore new methods to enable secure multi-party computation.

The award recognizes early stage scholars with high levels of promise and excellence.