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Solving the complex problems the world currently faces—from human diseases such as breast cancer to such environmental concerns as global warming—requires deep knowledge of each problem’s nature and numerous tools, perspectives, and expertise, including applied mathematical and statistical modeling and computational methods. 

The Department of Applied and Computational Mathematics and Statistics (ACMS) supports a collaborative approach to research by preparing and empowering students and faculty with deep domain knowledge in mathematics and statistics to apply their expertise in a variety of fields, which opens opportunities to transcend traditional disciplinary boundaries to impact critical problems in the natural and social sciences, technology, and beyond. 

Students may pursue undergraduate or graduate degrees in ACMS; both offer the chance to work with interdisciplinary research teams that push the edges of innovation—projects like Clinical Prognostic Test for Metastasis in Breast Cancer, Integrating Multiscale Modeling and in vivo Experiments for Studying Blood Clot Development, and Multiscale Stochastic Model of Bruising.

Featured Research

Recent News

Lizhen Lin Receives NSF Faculty Early Career Development Award (CAREER)

March 16, 2017

Nsf

The National Science Foundation (NSF) has named Lizhen Lin as one of the winners of the Faculty Early Career Development Award (CAREER). Honoring outstanding research...

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