The Division of Applied Mathematics

The mission of the Division of Applied Mathematics rests on research, education, and scholarship. We focus our research and teaching on a wide range of areas from applied and algorithmic problems to the study of fundamental mathematical questions. In particular, we explore the connections between mathematics and its applications in biology, chemistry, engineering, geosciences, neuroscience, physics and other disciplines at the research and educational levels. Our educational efforts are realized primarily through our graduate PhD program and our four undergraduate concentrations.  


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Nicolas Garcia Trillos receives the  Francisco Aranda Ordaz Award

Nicolas Garcia Trillos, a postdoc in the Division of Applied Mathematics, received the Francisco Aranda Ordaz Award for his thesis entitled, "Variational Limit of graph cuts on point clouds."  The Latin American Congress of Probability and Mathematical Statistics gives this award to honor the memory of Francisco Aranda-Ordaz, who was a distinguished young Mexican statistician who died tragically in 1991.  (Read full story.)  

Professor Yan Guo named Fellow of the American Mathematical Society

The Division of Applied Mathematics is pleased to announce that Yan Guo, Professor of Applied Mathematics, has been named a Fellow of the American Mathematical Society for contributions to the mathematical theory of fluids and plasma. Professor Guo received his Ph.D. in Mathematics from Brown in 1993, and in 1995 he joined the faculty in the Division of Applied Mathematics.

David Lipshutz and Pooja Agarwal win Best Poster Awards

David Lipshutz, a postdoctoral research fellow, and Ph.D. candidate, Pooja Agarwal, both in the Division of Applied Mathematics, won Best Poster Awards at the biennial Stochastic Networks Conference at the University of California, San Diego.  Pooja's research focuses on surveying recent developments, and identifying future research directions in stochastic network models. Her poster described results on the equilibrium behavior of randomized load balancing algorithms.  David's research focuses on understanding the effects of small changes to parameters that describe stochastic network models.

Brown Launches the Data Science Initiative 

Brown University launched a new Data Science Initiative (DSI) that connects Applied Mathematics, Biostatistics, Computer Science, and Mathematics with domain disciplines to bolster research and education to meet the challenges of an increasingly data-driven world. (Read more.) 

Data Science Initiative Launches a New Master's Program

The Brown Data Science Initiative (DSI) is pleased to announce a new Master's Program that will draw on Brown's strength in Data Science and offer students from a wide range of disciplinary backgrounds a rigorous, distinctive, and attractive education for building a career in Data Science and/or Big Data management. (Read more.)

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