How can the principles of applied and computational mathematics be used to better understand our world?
Juan Meza looks at the foundational math underlying real-world science problems to understand and predict how things behave. His work focuses on applied mathematics and computational research, with an emphasis on methods for parallel computing. He has also worked on a variety of scientific and engineering applications, such as scalable methods for nanoscience, power grid reliability, molecular conformation problems, optimal design of chemical vapor deposition furnaces, and semiconductor device modeling. He was named Dean of the School of Natural Sciences at UC Merced in 2011.
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